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Artificial Neural Nets and Genetic Algorithms

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Cover of 'Artificial Neural Nets and Genetic Algorithms'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Workshop Summary
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    Chapter 2 The class of refractory neural nets
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    Chapter 3 The Boltzmann ECE Neural Network: A Learning Machine for Estimating Unknown Probability Distributions
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    Chapter 4 The Functional Intricacy of Neural Networks A Mathematical Study
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    Chapter 5 Evolving Neural Feedforward Networks
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    Chapter 6 An Example of Neural Code: Neural Trees Implemented by LRAAMs
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    Chapter 7 Kolmogorov’s Theorem: From Algebraic Equations and Nomography to Neural Networks
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    Chapter 8 Output Zeroing within a Hopfield Network
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    Chapter 9 Evolving Recurrent Neural Networks
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    Chapter 10 Speeding Up Back Propagation by Partial Evaluation
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    Chapter 11 A New Min-Max Optimisation Approach for Fast Learning Convergence of Feed-Forward Neural Networks
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    Chapter 12 Evolution of neural net architectures by a hierarchical grammar-based genetic system
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    Chapter 13 Interactive Classification through Neural Networks
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    Chapter 14 Visualization of Neural Network Operation for Improving the Performance Optimization Process
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    Chapter 15 Identification of Nonlinear Systems Using Dynamical Neural Networks: A Singular Perturbation Approach
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    Chapter 16 The Polynomial Method Augmented by Supervised Training for Hand-Printed Character Recognition
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    Chapter 17 Analysis of Electronic Nose Data Using Logical Neurons
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    Chapter 18 Neural Tree Network Based Electronic Nose
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    Chapter 19 Lime Kiln Process Identification and Control: A Neural Network Approach
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    Chapter 20 Application of Neural Networks to Automated Brain Maturation Study
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    Chapter 21 A Neuron Model for Centroid Estimation in Clustering Problems
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    Chapter 22 Systolic Pattern Recognition Based on Neural Network Algorithm
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    Chapter 23 Neural Networks versus Image Pyramids
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    Chapter 24 Application of Neural Networks to Gradient Search Techniques in Cluster Analysis
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    Chapter 25 LVQ-Based On-line EEG Classification
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    Chapter 26 A Scalable Neural Architecture Combining Unsupervised and Suggestive Learning
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    Chapter 27 Stability Analysis of the Separation of Sources Algorithm: Application to an Analogue Hardware
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    Chapter 28 Learning with Mappings and Input-Orderings using Random Access Memory — based Neural Networks
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    Chapter 29 New Preprocessing Methods for Holographic Neural Networks
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    Chapter 30 A Solution for the Processor Allocation Problem: Topology Conserving Graph Mapping by Self-Organization
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    Chapter 31 Using A Synergetic Computer in an Industrial Classification Problem
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    Chapter 32 Connectionist Unifying Prolog
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    Chapter 33 Plausible Self-Organizing Maps for Speech Recognition
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    Chapter 34 Application of Neural Networks to Fault Diagnosis for HVDC Systems
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    Chapter 35 The Hopfield and Hamming Networks Applied to the Automatic Speech Recognition of the Five Spanish Vowels
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    Chapter 36 Speaker-Independent Word Recognition with Backpropagation Networks
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    Chapter 37 A Neural Learning Framework for Advisory Dialogue Systems
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    Chapter 38 Symbolic Learning in Connectionist Production Systems
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    Chapter 39 An Evaluation of Different Network Models in Machine Vision Applications
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    Chapter 40 Combined Application of Neural Network and Artificial Intelligence Methods to Automatic Speech Recognition in a Continuous Utterance
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    Chapter 41 A Neural Network Based Control of a Simulated Biochemical Process
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    Chapter 42 Applications of Neural Networks for Filtering
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    Chapter 43 A Recurrent Neural Network for Time-series Modelling
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    Chapter 44 The Application of Neural Sensors to Fermentation Processes
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    Chapter 45 An Application of Unsupervised Neural Networks Based Condition Monitoring System
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    Chapter 46 A Report of the Practical Application of a Neural Network in Financial Service Decision Making
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    Chapter 47 Performance Evaluation of Neural Networks Applied to Queueing Allocation Problem
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    Chapter 48 Real-data-based Car-following with Adaptive Neural Control
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    Chapter 49 An Adaptive Plan
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    Chapter 50 Mapping Parallel Genetic Algorithms on WK-Recursive Topologies
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    Chapter 51 Diversity and Diversification in Genetic Algorithms: Some Connections with Tabu Search
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    Chapter 52 Clique Partitioning Problem and Genetic Algorithms
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    Chapter 53 Self-Organization of Communication in Distributed Learning Classifier Systems
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    Chapter 54 Design of Digital Filters with Evolutionary Algorithms
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    Chapter 55 An Empirical Study of Population and Non-population Based Search Strategies for Optimizing a Combinatorical Problem
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    Chapter 56 The Parallel Genetic Cellular Automata: Application to Global Function Optimization
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    Chapter 57 Optimization of Genetic Algorithms by Genetic Algorithms
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    Chapter 58 Achieving Self-Stabilization in a Distributed System Using Evolutionary Strategies
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    Chapter 59 Improving Simple Classifier Systems to alleviate the problems of Duplication, Subsumption and Equivalence of Rules
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    Chapter 60 Genetic Algorithm Selection of Features for Hand-printed Character Identification
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    Chapter 61 Analysis and Comparison of different Genetic Models for the Clustering problem in Image Analysis
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    Chapter 62 Evolving Recurrent Dynamical Networks for Robot Control
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    Chapter 63 Genetic Algorithms for On-Line System Identification
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    Chapter 64 EVOLVABLE HARDWARE Genetic Programming of a Darwin Machine
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    Chapter 65 A Fast Genetic Algorithm with Sharing Scheme Using Cluster Analysis Methods in Multimodal Function Optimization
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    Chapter 66 An Interactive Genetic Algorithm for Controller Parameter Optimization
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    Chapter 67 Robustness and Evolution in an Adaptive System Application on Classification Task
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    Chapter 68 On Robot Navigation Using a Genetic Algorithm
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    Chapter 69 Genetic Algorithms and Classifier Systems in simulating a Cooperative behavior
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    Chapter 70 Dynamic Management of the Specificity in Classifier Systems
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    Chapter 71 Dynamic Sequencing of A Multi-Processor System: A Genetic Algorithm Approach
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    Chapter 72 Genetic Algorithms versus Tabu Search for Instruction Scheduling
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    Chapter 73 A Massively Parallel Genetic Algorithm on the MasPar MP-1
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    Chapter 74 Standard Cell Routing Optimization Using A Genetic Algorithm
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    Chapter 75 Efficient Parallel Learning in Classifier Systems
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    Chapter 76 Co-Evolving Communicating Classifier Systems for Tracking
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    Chapter 77 On Finding Optimal Potential Customers from a Large Marketing Database — a Genetic Algorithm Approach
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    Chapter 78 Structural Design for Enhanced Noise Performance Using Genetic Algorithm and Other Optimization Techniques
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    Chapter 79 The Concrete Arch Dam
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    Chapter 80 The Genie Project — A Genetic Algorithm Application to a Sequencing Problem in the Biological Domain.
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    Chapter 81 Hybrid Genetic Algorithms for the Traveling Salesman Problem
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    Chapter 82 Using a Genetic Algorithm to Investigate Taxation Induced Interactions in Capital Budgeting
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    Chapter 83 Fast Sequential and Parallel Implementation of Genetic Algorithms using the GAmeter Toolkit
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    Chapter 84 Locating Pressure Control Elements for Leakage Minimisation in Water Supply Networks by Genetic Algorithms
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    Chapter 85 A “Noise Gene” for Econets
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    Chapter 86 A Solution to Global Illumination by Genetic Algorithms
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    Chapter 87 NeXTGene: A graphical user-interface for GENESIS under NeXTStep
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    Chapter 88 Using Genetic Algorithms in Economic Modelling: The Many-Agents Approach
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    Chapter 89 GIRS: A genetic approach to Information Retrieval
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    Chapter 90 Classifier System in Traffic Management
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    Chapter 91 Genetic Search for Optimal Representations in Neural Networks
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    Chapter 92 Searching among Search Spaces: Hastening the genetic evolution of feedforward neural networks
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    Chapter 93 Representation and Evolution of Neural Networks
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    Chapter 94 Using a Genetic Algorithm to tune Potts Neural Networks
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    Chapter 95 Genetic Weight Optimization of a Feedforward Neural Network Controller
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    Chapter 96 Using a genetic algorithm to find the rules of a neural network
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    Chapter 97 M. L. P. Optimal Topology via Genetic Algorithms
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    Chapter 98 Application of Genetic Algorithms to the Construction of Topologies for Multilayer Perceptrons
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    Chapter 99 Genetic Algorithms as Heuristics for Optimizing ANN Design
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    Chapter 100 Genetic Algorithm Design of Neural Net Based Electronic Nose
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    Chapter 101 Circuits of Production Rule GenNets
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    Chapter 102 Neuromimetic Algorithms Processing: Tools for Design of Dedicated Architectures
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    Chapter 103 Towards the Development of Cognitive Maps in Classifier Systems
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    Chapter 104 Genetic Optimisation of Neural Network Architectures for Colour Recipe Prediction
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    Chapter 105 Use of Genetic Algorithms for Optimal Topology Determination in Back Propagation Neural Networks
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    Chapter 106 Counting and Naming Connection Islands on a Grid of Conductors
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Title
Artificial Neural Nets and Genetic Algorithms
Published by
Springer Vienna, December 2012
DOI 10.1007/978-3-7091-7533-0
ISBNs
978-3-21-182459-7, 978-3-70-917533-0
Editors

Albrecht, Rudolf F., Reeves, Colin R., Steele, Nigel C.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 27%
Professor 2 18%
Student > Bachelor 2 18%
Student > Master 2 18%
Researcher 1 9%
Other 0 0%
Unknown 1 9%
Readers by discipline Count As %
Computer Science 4 36%
Engineering 3 27%
Business, Management and Accounting 2 18%
Unknown 2 18%

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