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Artificial Neural Nets and Genetic Algorithms

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Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Workshop Summary
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    Chapter 2 Kohonen Neural Networks for Machine and Process Condition Monitoring
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    Chapter 3 Process Modelling and Control with Neural Networks: Present Status and Future Directions
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    Chapter 4 A Genetic Algorithm for Multicriteria Inventory Classification
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    Chapter 5 Optimizing Classifiers for Handwritten Digits by Genetic Algorithms
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    Chapter 6 DCS: A Promising Classifier System
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    Chapter 7 Application of neural networks for classification of temperature distribution patterns
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    Chapter 8 Combination of Genetic Algorithms and CLP in the Vehicle-Fleet Scheduling Problem
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    Chapter 9 Minimum Cost Topology Optimisation of the Cost 239 European Optical Network
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    Chapter 10 Timetabling Using Genetic Algorithms
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    Chapter 11 Resolution of Cartographic Layout Problem by Means of Improved Genetic Algorithms
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    Chapter 12 Using Genetic Algorithms to Solve the Radio Link Frequency Assignment Problem
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    Chapter 13 A Transformation for Implementing Efficient Dynamic Backpropagation Neural Networks
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    Chapter 14 AA1*: A Dynamic Incremental Network that Learns by Discrimination
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    Chapter 15 Non-Supervised Sensory-Motor Agents Learning
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    Chapter 16 Functional Equivalence and Genetic Learning of RBF Networks
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    Chapter 17 Teaching Relaxation Labeling Processes Using Genetic Algorithms
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    Chapter 18 VLSI Optimal Neural Network Learning Algorithm
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    Chapter 19 Using of Neural-Network and Expert System for Imissions Prediction
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    Chapter 20 The Costing of Process Vessels Using Neural Networks
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    Chapter 21 Neural Network Modelling of Fermentation Taking into Account Culture Memory
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    Chapter 22 Brain Electrographic State Detection Using Combined Unsupervised and Supervised Neural Networks
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    Chapter 23 From the Chromosome to the Neural Network
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    Chapter 24 CAM-Brain
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    Chapter 25 A Perfect Integration of Neural Networks and Evolutionary Algorithms
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    Chapter 26 g-lvq , a combination of genetic algorithms and lvq
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    Chapter 27 Evolving Neural Network Structures: An Evaluation of Encoding Techniques
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    Chapter 28 Application of Radial Basis Function Networks to Fault Diagnosis for a Hydraulic System
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    Chapter 29 Optimally Robust Fault Diagnosis Using Genetic Algorithms
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    Chapter 30 Development of a Neural-based Diagnostic System to Control the Ropes of Mining Shifts
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    Chapter 31 Lime Kiln Fault Detection and Diagnosis by Neural Networks
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    Chapter 32 Investigations into the Use of Wavelet Transformations as Input into Neural Networks for Condition Monitoring
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    Chapter 33 Genetic Algorithm for Neurocomputer Image Recognition
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    Chapter 34 Feature Map Architectures for Pattern Recognition: Techniques for Automatic Region Selection
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    Chapter 35 Adaptive Genetic Algorithms for Multi-Point Path Finding in Artificial Potential Fields
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    Chapter 36 Spatio-Temporal Mask Learning: Application to Speech Recognition
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    Chapter 37 Artificial Neural Networks for Motion Estimation
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    Chapter 38 Advanced Neural Networks Methods for Recognition of Handwritten Characters
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    Chapter 39 The Use of a Variable Length Chromosome for Permutation Manipulation in Genetic Algorithms
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    Chapter 40 Theoretical Bounds for Genetic Algorithms
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    Chapter 41 An Argument Against the Principle of Minimal Alphabet
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    Chapter 42 Heterogeneous Co-evolving Parasites
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    Chapter 43 Typology of Boolean Functions Using Walsh Analysis
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    Chapter 44 Artificial Neural Networks for Nonlinear Projection and Exploratory Data Analysis
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    Chapter 45 Generic Back-Propagation in Arbitrary FeedForward Neural Networks
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    Chapter 46 From Prime Implicants to Modular Feedforward Networks
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    Chapter 47 Hierarchical Backward Search Method: A New Classification Tree Using Preprocessing by Multilayer Neural Network
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    Chapter 48 Adaptation Algorithms for 2-D Feedforward Neural Networks
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    Chapter 49 Selecting the Best Significant Fragment to the Incremental Heteroassociative Neural Network (RHI)
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    Chapter 50 An Orthogonal Neural Network with Guaranted Recall by Iterative Filters and Its Application to Texture Discrimination
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    Chapter 51 Automatic Radar Target Identification Using Neural Networks
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    Chapter 52 Keystroke Dynamics Based User Authentication Using Neural Networks
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    Chapter 53 Application of Learning to Learn to Real-World Pattern Recognition
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    Chapter 54 Quarry Aggregates: A Flexible Inspection Method Utilising Artificial Neural Networks
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    Chapter 55 An Evolution Model for Integration Problems
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    Chapter 56 Convergence of Algorithm and the Schema Theorem in Genetic Algorithms
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    Chapter 57 Incorporating Neighbourhood Search Operators Into Genetic Algorithms
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    Chapter 58 Automatic Change of Representation in Genetic Algorithms
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    Chapter 59 Dominant Takeover Regimes for Genetic Algorithms
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    Chapter 60 Interactve Evolutionary Algorithms in Design
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    Chapter 61 Decrypting Neural Network Data: A Gis Case Study
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    Chapter 62 A Framework for Creating Societies of Agents
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    Chapter 63 Adaptive Scaling of Codebook Vectors
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    Chapter 64 Bias Estimation for Neural Network Predictions
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    Chapter 65 ANN Realizations of Local Approximations Schemes
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    Chapter 66 Changing Network Weights by Lie Groups
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    Chapter 67 Unsupervised Learning of Temporal Sequences by Neural Networks
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    Chapter 68 Multivariate Time Series Modelling of Financial Markets with Artificial Neural Networks
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    Chapter 69 Neural Network Approach to Pisarenko’s Frequency Estimation
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    Chapter 70 Rounding FIR Filter Coefficients Using Genetic Algorithms
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    Chapter 71 Evolutionary Adaptive Filtering
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    Chapter 72 A Genetic Algorithm for Some Discrete-Continuous Scheduling Problems
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    Chapter 73 Hybridizing Genetic Algorithms with Branch and Bound Techniques for the Resolution of the TSP
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    Chapter 74 Performance of Genetic Algorithm Used for Analysis of Call and Service Processing in Telecommunications
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    Chapter 75 Evolutionary Heuristics for the Bin Packing Problem
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    Chapter 76 A Clausal Genetic Representation and its Evolutionary Procedures for Satisfiability Problems
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    Chapter 77 Massively Parallel Training of Multi Layer Perceptrons With Irregular Topologies
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    Chapter 78 Parallel Boltzmann Machine Topologies for Simulated Annealing Realisation of Combinatorial Problems
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    Chapter 79 Radial Basis Function Neural Networks in Credit Application Vetting Systems
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    Chapter 80 A Dynamical Architecture for a Radial Basis Function Network
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    Chapter 81 Centre Selection for Radial Basis Function Networks
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    Chapter 82 Flexible User-Guidance in Multimedia CBT-Applications Using Artificial Neural Networks
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    Chapter 83 Use of Genetic and Neural Technologies in Oil Equipment Computer-Aided Design
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    Chapter 84 GENESIS: An Object-Oriented Framework for Simulation of Neural Network Models
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    Chapter 85 NNDT — A Neural Network Development Tool
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    Chapter 86 Genetic Synthesis of Task-Oriented Neural Networks
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    Chapter 87 Evolving Neural Networks Using the “Baldwin Effect”
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    Chapter 88 Modification of Holland’s Reproductive Plan for Diploid Populations
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    Chapter 89 Simulated Annealing Artificial Neural Networks for the Satisfiability (SAT) Problem
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    Chapter 90 Policy Optimization by Neural Network and Its Application to Queueing Allocation Problem
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    Chapter 91 Comparison of Genetic and Other Unconstrained Optimization Methods
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    Chapter 92 Neural Networks for Dynamical Crop Growth Model Reduction and Optimization
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    Chapter 93 Modified Kohonen’s Learning Laws for RBF Network
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    Chapter 94 Kohonen’s Maps for Contour and “Region-Like” Segmentation of Gray Level and Color Images
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    Chapter 95 Using Genetic Algorithm in Self-Organizing Map Design
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    Chapter 96 Modular Labeling RAAM
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    Chapter 97 Self-Organizing Maps for Supervision in Robot Pick-And-Place Operations
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    Chapter 98 Q-Learning and Parallelism in Evolutionary Rule Based Systems
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    Chapter 99 Comparing Parallel Tabu Search and Parallel Genetic Algorithms on the Task Allocation Problem
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    Chapter 100 Distributed Genetic Algorithms with an Application to Portfolio Selection Problems
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    Chapter 101 Interval arithmetic and genetic algorithms in global optimization
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    Chapter 102 A Genetic Algorithm for Minimization of Fixed Polarity Reed-Muller Expressions
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    Chapter 103 Identification and Adaptive Control of Nonlinear Processes Using Combined Neural Networks and Genetic Algorithms
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    Chapter 104 Elevator group control using distributed genetic algorithm
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    Chapter 105 Neural Control of Nonlinear Non-Minimum Phase Dynamical Systems
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    Chapter 106 Industrial Kiln Multivariable Control: MNN and RBFNN Approaches
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    Chapter 107 Genetic Tuning of Neural Non-Linear PID Controllers
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    Chapter 108 Connectionnist Algorithm for a 3D Dense Image Building from Stereoscopy
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    Chapter 109 A Unified Neural Network Model for the Self-organization of Topographic Receptive Fields and Lateral Interaction
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    Chapter 110 A Neural Network Implementation for a Electronic Nose
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    Chapter 111 Genetic Algorithms (GAs) in the Role of Intelligent Regional Adaptation Agents for Agricultural Decision Support Systems
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    Chapter 112 Genetic Algorithm Applied to Radiotherapy Treatment Planning
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    Chapter 113 An Experience Based Competitive Learning Neural Model for Data Compression
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    Chapter 114 Using Neural Networks for Generic Strategic Planning
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    Chapter 115 Neural Network Training Compared for BACKPROP QUICKPROP and CASCOR in Energy Control Problems
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    Chapter 116 Application of Neural Network for Home Security System
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    Chapter 117 Application of Genetic Algorithms in Sliding Mode Control Design
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    Chapter 118 Application of Temporal Neural Networks to Source Localisation
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    Chapter 119 Using Genetic Algorithms for Optimal Design of Axially Loaded Non-Prismatic Columns
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    Chapter 120 Behaviour Learning by a Reward-Penalty Algorithm : From Gait Learning to Obstacle Avoidance by Neural Networks
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    Chapter 121 Using Evolutionary Computation to Generate Training Set Data for Neural Networks
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    Chapter 122 Optimal Training Pattern Selection Using a Cluster-Generating Artificial Neural Network
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    Chapter 123 Training Set Selection in Neural Network Applications
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    Chapter 124 A Genetic Algorithm for Load Balancing in Parallel Query Evaluation for Deductive Relational Data Bases
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    Chapter 125 Combining Distributed Populations and Periodic Centralized Selections in Coarse-Grain Parallel Genetic Algorithms
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    Chapter 126 Modified Genetic Algorithms by Efficient Unification with Simulated Annealing
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    Chapter 127 VLSI Standard Cell Placement by Parallel Hybrid Simulated-Annealing and Genetic Algorithm
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    Chapter 128 Performance of Genetic Algorithms in the Solution of Permutation Flowshop Problem
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    Chapter 129 A Genetic Algorithm for the Maximal Clique Problem
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    Chapter 130 Minimal Error Rate Classification in a Non-stationary Environment via a Modified Fuzzy ARTMAP Network
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    Chapter 131 Decision Making in Uncertain Environment with GA
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    Chapter 132 The Use of Fuzzy ARTMAP to Identify Low Risk Coronary Care Patients
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    Chapter 133 NeuroGraph - A Simulation Environment for Neural Networks, Genetic Algorithms and Fuzzy Logic
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    Chapter 134 Comparison of Identification Techniques for Nonlinear Systems
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Title
Artificial Neural Nets and Genetic Algorithms
Published by
Springer Vienna, April 1995
DOI 10.1007/978-3-7091-7535-4
ISBNs
978-3-21-182692-8, 978-3-70-917535-4
Authors

David W. Pearson, Nigel C. Steele, Rudolf F. Albrecht, Pearson, David W., Steele, Nigel C., Albrecht, Rudolf F.

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The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 19%
Researcher 5 19%
Professor 3 12%
Student > Ph. D. Student 3 12%
Lecturer 2 8%
Other 4 15%
Unknown 4 15%
Readers by discipline Count As %
Computer Science 7 27%
Engineering 7 27%
Business, Management and Accounting 2 8%
Physics and Astronomy 2 8%
Agricultural and Biological Sciences 1 4%
Other 2 8%
Unknown 5 19%