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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

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    Book Overview
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    Chapter 1 Topological Approach to Fuzzy Sets and Fuzzy Logic
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    Chapter 2 Linking Human Neural Processes Directly with Technology — The Future?
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    Chapter 3 Neural Dynamic Model for Optimization of Complex Systems
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    Chapter 4 Comparative Testing of Hyper-Planar Classifiers on Continuous Data Domains
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    Chapter 5 A Quantum Associative Memory Based on Grover’s Algorithm
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    Chapter 6 Newton Filters: a New Class of Neuron-Like Discrete Filters and an Application to Image Processing
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    Chapter 7 Improving Generalisation Using Modular Neural Networks
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    Chapter 8 The Role and Modelling of Presynaptic Inhibition in the Visual Pathway: Applications in Image Processing
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    Chapter 9 A Curvature Primal Sketch Neural Network Recognition System
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    Chapter 10 Using GMDH Neural Net and Neural Net With Switching Units to Find Rare Particles
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    Chapter 11 A Neural Network Based Nonlinear Temporal-Spatial Noise Rejection System
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    Chapter 12 Improving the Performance of the Hopfield Network By Using A Relaxation Rate
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    Chapter 13 A New Activation Function in the Hopfield Network for Solving Optimization Problems
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    Chapter 14 On-line Learning of Object Representations
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    Chapter 15 A neural network model for blast furnace wall temperature pattern classification
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    Chapter 16 Monitoring an Industrial Plastic Injection Moulding Machine Using Neural Networks
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    Chapter 17 Rates of Learning in Gradient and Genetic Training of Recurrent Neural Networks
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    Chapter 18 Influence of the Learning Gain on the Dynamics of Oja’s Neural Network
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    Chapter 19 ATR’s Artificial Brain Project: CAM-Brain Machine (CBM) and Robot Kitten (Robokoneko) Issues
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    Chapter 20 A Speaker Independent Arabic Isolated Spoken Digits Recognition System Using Fuzzy Kohonen Clustering Network
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    Chapter 21 Control of Complex of Parallel Operations Using Neural Network
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    Chapter 22 Using Smoothing Splines in Time Series Prediction with Neural Networks
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    Chapter 23 Evolvable Hardware Chips for Neural Network Applications
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    Chapter 24 Direct Inverse Control of Sensors by Neural Networks for Static/Low Frequency Applications
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    Chapter 25 Centre and Variance Selection for Gaussian Radial Basis Function Artificial Neural Networks
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    Chapter 26 Minimum Square-Error Modeling of the Probability Density Function
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    Chapter 27 Adaptation of NN Complexity to Empirical Information
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    Chapter 28 The RBF Neural Network in Approximate Dynamic Programming
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    Chapter 29 Adaptive Modularity and Time-Series Prediction
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    Chapter 30 Some Comparisons Between Linear Approximation and Approximation by Neural Networks
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    Chapter 31 Transposition: A Biological-Inspired Mechanism to Use with Genetic Algorithms
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    Chapter 32 Genetic Algorithms For Decision Tree Induction
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    Chapter 33 Optimising Decision Classifications Using Genetic Algorithms
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    Chapter 34 Scheduling Tasks with Non-negligible Intertask Communication onto Multiprocessors by using Genetic Algorithms
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    Chapter 35 Design of Robust Networks of Specific Topologies using a Genetic Algorithm
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    Chapter 36 The Effect of Degenerate Coding on Genetic Algorithms
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    Chapter 37 Genetic algorithms for the identification of the generalised Erlang laws parameters used in systems dependability studies
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    Chapter 38 Multiple Traffic Signal Control Using A Genetic Algorithm
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    Chapter 39 Evolving Musical Harmonisation
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    Chapter 40 A Niched-Penalty Approach for Constraint Handling in Genetic Algorithms
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    Chapter 41 A Genetic Algorithm with Dynamic Population Size
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    Chapter 42 A Genetic Algorithm with Dynamic Niche Clustering for Multimodal Function Optimisation
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    Chapter 43 Time and Size Limited Harvesting Models of Genetic Algorithm
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    Chapter 44 A General Model of Co-evolution for Genetic Algorithms
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    Chapter 45 Selection of Informative Inputs Using Genetic Algorithms
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    Chapter 46 Parallel Evolutionary Algorithms with SOM-Like Migration and their Application to Real World Data Sets
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    Chapter 47 Skewed Crossover and the Dynamic Distributed Database Problem
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    Chapter 48 Improved Pseudo-Relaxation Learning Algorithm for Robust Bidirectional Associative Memory
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    Chapter 49 Self-Adaptation of Evolutionary Constructed Decision Trees by Information Spreading
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    Chapter 50 Evolutionary Programming of Near-Optimal Neural Networks
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    Chapter 51 Exploring the Relationship between Neural Network Topology and Optimal Training Set by Means of Genetic Algorithms
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    Chapter 52 Development of Fuzzy Learning Vector Quantization Neural Network for Artificial Odor Discrimination System
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    Chapter 53 Differential Inclusions Mapping Simplexes to Simplexes
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    Chapter 54 Crossbar Adaptive Array: The first connectionist network that solved the delayed reinforcement learning problem
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    Chapter 55 An Evolutionary Algorithm for a Non-standard Scheduling Problem
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    Chapter 56 An Evolutionary Approach to Concept Learning with Structured Data
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    Chapter 57 Genetic Redundancy: Desirable or Problematic for Evolutionary Adaptation?
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    Chapter 58 Dynamic Systems Modelling with Evolving Cellular Automata
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Title
Artificial Neural Nets and Genetic Algorithms
Published by
Springer Science & Business Media, July 1999
DOI 10.1007/978-3-7091-6384-9
ISBNs
978-3-21-183364-3, 978-3-70-916384-9
Authors

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

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

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 %
Spain 1 4%
Unknown 25 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 19%
Student > Master 3 12%
Researcher 3 12%
Student > Bachelor 1 4%
Professor > Associate Professor 1 4%
Other 0 0%
Unknown 13 50%
Readers by discipline Count As %
Engineering 4 15%
Computer Science 3 12%
Materials Science 2 8%
Business, Management and Accounting 1 4%
Mathematics 1 4%
Other 2 8%
Unknown 13 50%