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Computational Intelligence and Bioinspired Systems

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Cover of 'Computational Intelligence and Bioinspired Systems'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Role of Function Complexity and Network Size in the Generalization Ability of Feedforward Networks
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    Chapter 2 Analysis of the Sanger Hebbian Neural Network
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    Chapter 3 Considering Multidimensional Information Through Vector Neural Networks
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    Chapter 4 Combining Ant Colony Optimization with Dynamic Programming for Solving the k-Cardinality Tree Problem
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    Chapter 5 A Basic Approach to Reduce the Complexity of a Self-generated Fuzzy Rule-Table for Function Approximation by Use of Symbolic Interpolation
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    Chapter 6 Average Time Complexity of Estimation of Distribution Algorithms
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    Chapter 7 A Comparison of Evolutionary Approaches to the Shortest Common Supersequence Problem
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    Chapter 8 Simultaneous Evolution of Neural Network Topologies and Weights for Classification and Regression
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    Chapter 9 Applying Bio-inspired Techniques to the p-Median Problem
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    Chapter 10 Optimal Strategy for Resource Allocation of Two-Dimensional Potts Model Using Genetic Algorithm
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    Chapter 11 Memetic Algorithms to Product-Unit Neural Networks for Regression
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    Chapter 12 Lamarckian Clonal Selection Algorithm Based Function Optimization
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    Chapter 13 Artificial Neural Networks Based on Brain Circuits Behaviour and Genetic Algorithms
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    Chapter 14 Modeling Synaptic Transmission and Quantifying Information Transfer in the Granular Layer of the Cerebellum
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    Chapter 15 The After-Hyperpolarization Amplitude and the Rise Time Constant of IPSC Affect the Synchronization Properties of Networks of Inhibitory Interneurons
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    Chapter 16 TiViPE Simulation of a Cortical Crossing Cell Model
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    Chapter 17 A Model of Spiking-Bursting Neuronal Behavior Using a Piecewise Linear Two-Dimensional Map
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    Chapter 18 Real-Time Spiking Neural Network: An Adaptive Cerebellar Model
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    Chapter 19 Modeling Neural Processes in Lindenmayer Systems
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    Chapter 20 Modeling Stimulus Equivalence with Multi Layered Neural Networks
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    Chapter 21 Instability of Attractors in Auto-associative Networks with Bio-inspired Fast Synaptic Noise
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    Chapter 22 Lookup Table Powered Neural Event-Driven Simulator
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    Chapter 23 Joint Kernel Maps
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    Chapter 24 Statistical Ensemble Method (SEM): A New Meta-machine Learning Approach Based on Statistical Techniques
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    Chapter 25 Neural Network Modeling by Subsampling
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    Chapter 26 Balanced Boosting with Parallel Perceptrons
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    Chapter 27 A Reinforcement Learning Algorithm Using Temporal Difference Error in Ant Model
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    Chapter 28 Selection of Weights for Sequential Feed-Forward Neural Networks: An Experimental Study
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    Chapter 29 Exploiting Multitask Learning Schemes Using Private Subnetworks
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    Chapter 30 Co-evolutionary Learning in Liquid Architectures
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    Chapter 31 Extended Sparse Nonnegative Matrix Factorization
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    Chapter 32 Using a Mahalanobis-Like Distance to Train Radial Basis Neural Networks
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    Chapter 33 Robustness of Radial Basis Functions
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    Chapter 34 Improving Clustering Technique for Functional Approximation Problem Using Fuzzy Logic: ICFA Algorithm
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    Chapter 35 Input Variable Selection in Hierarchical RBF Networks
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    Chapter 36 Approximating I/O Data Using Radial Basis Functions: A New Clustering-Based Approach
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    Chapter 37 Application of ANOVA to a Cooperative-Coevolutionary Optimization of RBFNs
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    Chapter 38 Characterizing Self-developing Biological Neural Networks: A First Step Towards Their Application to Computing Systems
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    Chapter 39 Cooperative Bees Swarm for Solving the Maximum Weighted Satisfiability Problem
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    Chapter 40 Deriving Cortical Maps and Elastic Nets from Topology-Preserving Maps
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    Chapter 41 Evolution of Cooperating ANNs Through Functional Phenotypic Affinity
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    Chapter 42 Robust Growing Hierarchical Self Organizing Map
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    Chapter 43 Web Usage Mining Using Support Vector Machine
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    Chapter 44 Multi-kernel Growing Support Vector Regressor
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    Chapter 45 Stability Results for Cellular Neural Networks with Time Delays
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    Chapter 46 Global Exponential Stability Analysis in Cellular Neural Networks with Time-Varying Coefficients and Delays
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    Chapter 47 Diversity and Multimodal Search with a Hybrid Two-Population GA: An Application to ANN Development
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    Chapter 48 Identification of Fuzzy Systems with the Aid of Genetic Fuzzy Granulation
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    Chapter 49 Clustering-Based TSK Neuro-fuzzy Model for Function Approximation with Interpretable Sub-models
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    Chapter 50 Genetically Optimized Hybrid Fuzzy Neural Networks with the Aid of TSK Fuzzy Inference Rules and Polynomial Neural Networks
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    Chapter 51 IG-Based Genetically Optimized Fuzzy Polynomial Neural Networks
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    Chapter 52 Hierarchical Neuro-fuzzy Models Based on Reinforcement Learning for Intelligent Agents
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    Chapter 53 Interfacing with Patterned in Vitro Neural Networks by Means of Hybrid Glass-Elastomer Neurovectors: Progress on Neuron Placement, Neurite Outgrowth and Biopotential Measurements
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    Chapter 54 Using Kolmogorov Inspired Gates for Low Power Nanoelectronics
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    Chapter 55 CMOL CrossNets as Pattern Classifiers
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    Chapter 56 Analog VLSI Implementation of Adaptive Synapses in Pulsed Neural Networks
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    Chapter 57 Smart Sensing with Adaptive Analog Circuits
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    Chapter 58 Spiking Neurons Computing Platform
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    Chapter 59 Inter-spike-intervals Analysis of Poisson Like Hardware Synthetic AER Generation
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    Chapter 60 Ultra Low-Power Neural Inspired Addition: When Serial Might Outperform Parallel Architectures
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    Chapter 61 An Asynchronous 4-to-4 AER Mapper
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    Chapter 62 Fast Optoelectronic Neural Network for Vision Applications
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    Chapter 63 A Computational Tool to Test Neuromorphic Encoding Schemes for Visual Neuroprostheses
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    Chapter 64 Test Infrastructure for Address-Event-Representation Communications
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    Chapter 65 Automatic Generation of Bio-inspired Retina-Like Processing Hardware
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    Chapter 66 Two Hardware Implementations of the Exhaustive Synthetic AER Generation Method
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    Chapter 67 On the Design of a Parallel Genetic Algorithm Based on a Modified Survival Method for Evolvable Hardware
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    Chapter 68 A Novel Approach for the Implementation of Large Scale Spiking Neural Networks on FPGA Hardware
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    Chapter 69 A Quaternary CLB Design Using Quantum Device Technology on Silicon for FPGA Neural Network Architectures
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    Chapter 70 A Dynamically-Reconfigurable FPGA Platform for Evolving Fuzzy Systems
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    Chapter 71 FPGA Implementation of Hopfield Networks for Systems Identification
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    Chapter 72 An FPGA-Based Adaptive Fuzzy Coprocessor
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    Chapter 73 Cascade Ensembles
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    Chapter 74 Ensembles of Multilayer Feedforward: Some New Results
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    Chapter 75 Layered Network Computations by Parallel Nonlinear Processing
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    Chapter 76 Fast Classification with Neural Networks via Confidence Rating
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    Chapter 77 Characterization and Synthesis of Objects Using Growing Neural Gas
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    Chapter 78 ARGEN + AREPO: Improving the Search Process with Artificial Genetic Engineering
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    Chapter 79 Modelling Perceptual Discrimination
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    Chapter 80 Memory Retrieval in a Neural Network with Chaotic Neurons and Dynamic Synapses
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    Chapter 81 Neural Network Based 3D Model Reconstruction  with Highly Distorted Stereoscopic Sensors
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    Chapter 82 Evolutionary Design of a Brain-Computer Interface
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    Chapter 83 Vision-Based Walking Parameter Estimation for Biped Locomotion Imitation
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    Chapter 84 Designing a Control System for an Autonomous Robot Using an Evolutionary Algorithm
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    Chapter 85 Pruning Neural Networks for a Two-Link Robot Control System
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    Chapter 86 Using PSOMs to Learn Inverse Kinematics Through Virtual Decomposition of the Robot
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    Chapter 87 Highly Modular Architecture for the General Control of Autonomous Robots
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    Chapter 88 Complex Behaviours Through Modulation in Autonomous Robot Control
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    Chapter 89 Explorative Data Analysis Based on Self-organizing Maps and Automatic Map Analysis
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    Chapter 90 A Novel Optimization of Profile HMM by a Hybrid Genetic Algorithm
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    Chapter 91 Heuristic Search over a Ranking for Feature Selection
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    Chapter 92 Intrinsic Dimensionality Maps with the PCASOM
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    Chapter 93 The Curse of Dimensionality in Data Mining and Time Series Prediction
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    Chapter 94 Obtaining a Complex Linguistic Data Summaries from Database Based on a New Linguistic Aggregation Operator
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    Chapter 95 Bias and Variance of Rotation-Based Ensembles
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    Chapter 96 Comparative Assessment of the Robustness of Missing Data Imputation Through Generative Topographic Mapping
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    Chapter 97 Induction of Decision Trees Using an Internal Control of Induction
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    Chapter 98 An Approach to Reduce the Cost of Evaluation in Evolutionary Learning
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    Chapter 99 Efficient Design of Fixed Point Digital FIR Filters by Using Differential Evolution Algorithm
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    Chapter 100 Manifold Constrained Finite Gaussian Mixtures
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    Chapter 101 A Comparison of Gaussian Based ANNs for the Classification of Multidimensional Hyperspectral Signals
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    Chapter 102 Voice Activity Detection Using Higher Order Statistics
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    Chapter 103 Matched Filter as Pre-processing Tool for Multi-user Detection in DS-CDMA System
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    Chapter 104 A Robust Multiple Feature Approach to Endpoint Detection in Car Environment Based on Advanced Classifiers
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    Chapter 105 Canonical Correlation Analysis Using for DOA Estimation of Multiple Audio Sources
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    Chapter 106 Multilayer Perceptrons Applied to Traffic Sign Recognition Tasks
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    Chapter 107 Shape Classification Algorithm Using Support Vector Machines for Traffic Sign Recognition
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    Chapter 108 A Practical License Plate Recognition System for Real-Time Environments
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    Chapter 109 Matching Algorithm for Hangul Recognition Based on PDA
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    Chapter 110 Block LDA for Face Recognition
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    Chapter 111 Image Processing with CNN in a FPGA-Based Augmented Reality System for Visually Impaired People
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    Chapter 112 A Gradient Descent MRI Illumination Correction Algorithm
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    Chapter 113 Mutifractal Analysis of Electroencephalogram Time Series in Humans
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    Chapter 114 Face Recognition with Improved Pairwise Coupling Support Vector Machines
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    Chapter 115 Face Recognition System Based on PCA and Feedforward Neural Networks
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    Chapter 116 A New Fuzzy Approach for Edge Detection
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    Chapter 117 Fault Detection and Prediction of Clocks and Timers Based on Computer Audition and Probabilistic Neural Networks
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    Chapter 118 Long Term Prediction of Product Quality in a Glass Manufacturing Process Using a Kernel Based Approach
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    Chapter 119 Time Series Forecast with Anticipation Using Genetic Programming
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    Chapter 120 Multi-modeling: A Different Way to Design Intelligent Predictors
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    Chapter 121 Input and Structure Selection for k-NN Approximator
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    Chapter 122 Nonlinear Robust Identification with ε – GA: FPS Under Several Norms Simultaneously
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    Chapter 123 Input Selection for Long-Term Prediction of Time Series
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    Chapter 124 Direct and Recursive Prediction of Time Series Using Mutual Information Selection
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    Chapter 125 Load Forecasting Using Fixed-Size Least Squares Support Vector Machines
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    Chapter 126 TaSe Model for Long Term Time Series Forecasting
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    Chapter 127 Connections Between ICA and Sparse Coding Revisited
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    Chapter 128 Analysis of Variance of Three Contrast Functions in a Genetic Algorithm for Non-linear Blind Source Separation
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    Chapter 129 Robust Processing of Microarray Data by Independent Component Analysis
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    Chapter 130 Multichannel Blind Signal Separation in Semiconductor-Based GAS Sensor Arrays
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    Chapter 131 Clustering of Signals Using Incomplete Independent Component Analysis
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    Chapter 132 A Hybridization of Simulated Annealing and Local PCA for Automatic Component Assignment Within ICA
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    Chapter 133 An ICA Approach to Detect Functionally Different Intra-regional Neuronal Signals in MEG Data
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    Chapter 134 Filtering-Free Blind Separation of Correlated Images
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    Chapter 135 Robust Blind Image Watermarking with Independent Component Analysis: A Embedding Algorithm
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    Chapter 136 Adaptive Load Frequency Control with Dynamic Fuzzy Networks in Power Systems
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    Chapter 137 Fault Fuzzy Rule Extraction from AC Motors by Neuro-fuzzy Models
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    Chapter 138 Adaptive Power System Stabilizer Using ANFIS and Genetic Algorithms
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    Chapter 139 Use of ANN in a Research Reactor Power Fuzzy Controller
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    Chapter 140 The Use of Bayesian Networks for Subgrouping Heterogeneous Diseases
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    Chapter 141 Graph Partitioning via Recurrent Multivalued Neural Networks
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    Chapter 142 Dynamical Random Neural Network Approach to a Problem of Optimal Resource Allocation
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    Chapter 143 Biometric Hand Recognition Using Neural Networks
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    Chapter 144 Biometric Identification by Means of Hand Geometry and a Neural Net Classifier
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    Chapter 145 Study of a Committee of Neural Networks for Biometric Hand-Geometry Recognition
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    Chapter 146 An Evolutionary Environment for Wind Turbine Blade Design
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    Chapter 147 Linguistic Properties Based on American Sign Language Recognition with Artificial Neural Networks Using a Sensory Glove and Motion Tracker
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    Chapter 148 Crack Detection in Wooden Pallets Using the Wavelet Transform of the Histogram of Connected Elements
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    Chapter 149 A Competitive-Based Method for Determining the Number of Groups: A Clinical Application
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    Chapter 150 Knowledge Extraction from Neural Networks Using the All-Permutations Fuzzy Rule Base: The LED Display Recognition Problem
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    Chapter 151 Controlling Force Based on Radial Fuzzy Functions in High-Speed Machining Processes
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    Chapter 152 Sequential PN Acquisition Scheme Based on a Fuzzy Logic Controller
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    Chapter 153 Fuzzy Logic System for Students’ Evaluation
Attention for Chapter 19: Modeling Neural Processes in Lindenmayer Systems
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Chapter title
Modeling Neural Processes in Lindenmayer Systems
Chapter number 19
Book title
Computational Intelligence and Bioinspired Systems
Published by
Springer Berlin Heidelberg, January 2005
DOI 10.1007/11494669_19
Book ISBNs
978-3-54-026208-4, 978-3-54-032106-4
Authors

Carlos Martín-Vide, Tseren-Onolt Ishdorj

Editors

Joan Cabestany, Alberto Prieto, Francisco Sandoval

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 38%
Malaysia 1 13%
Unknown 4 50%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 38%
Student > Ph. D. Student 2 25%
Professor > Associate Professor 1 13%
Student > Doctoral Student 1 13%
Unknown 1 13%
Readers by discipline Count As %
Computer Science 4 50%
Engineering 2 25%
Unknown 2 25%