Andrej Dobnikar / Nigel C. Steele / David Pearson / Rudolf Albrecht (eds.)

Artificial Neural Nets and Genetic Algorithms

Proceedings of the International Conference in Portoro¿, Slovenia, 1999
Herausgegeben:Dobnikar, Andrej; Steele, Nigel C.; Pearson, David W.

• Broschiertes Buch

Produktbeschreibung

From the contents:
- Neural networks - theory and applications: NN (= neural network) classifier on continuous data domain
- Quantum associative memory
- A new class of neuron-like discrete filters for image processing
- Modular NNs for improving generalization properties
- Presynaptic inhibition modelling for image processing application
- NN recognition system for a curvature primal sketch
- NNs based nonlinear temporal-spatial rejection system
- Relaxation rate for improving Hopfield network
- Oja's NN and influence of the learning gain on its dynamics
- Genetic algorithms - theory and applications: Transposition: a biological mechanism to use with GAs (= genetic algorithms)
- GA for decision tree induction
- Optimising decision classifications with GAs
- Scheduling tasks with intertask communication onto multiprocessors by GAs
- Designing robust networks with GA
- Effect of degenerate coding on GAs
- Multiple traffic signal control using a GA
- Evolving musical harmonisation
- Niched-penalty approach for constraint handling in GAs
- GA with dynamic population size
- GA with dynamic niche clustering for multimodal function optimisation
- Soft computing and uncertainty: Self-adaptation of evolutionary constructed decision trees by information spreading
- Evolutionary programming of near optimal NNs.

Produktdetails

• Verlag: Springer / Springer Vienna / Springer, Wien
• Artikelnr. des Verlages: 978-3-211-83364-3
• 1999.
• Seitenzahl: 372
• Erscheinungstermin: 15. Juli 1999
• Deutsch, Englisch, Französisch, Spanisch
• Abmessung: 280mm x 210mm x 21mm
• Gewicht: 990g
• ISBN-13: 9783211833643
• ISBN-10: 3211833641
• Artikelnr.: 09182802

Inhaltsangabe

Plenary talks.- Topological Approach to Fuzzy Sets and Fuzzy Logic.- Linking Human Neural Processes Directly with Technology - the Future?.- Neural Dynamic Model for Optimization of Complex Systems.- I: Neural Networks - Theory and Applications.- Comparative Testing of Hyper-Planar Classifiers on Continuous Data Domains.- A Quantum Associative Memory Based on Grover's Algorithm.- Newton Filters: a New Class of Neuron-Like Discrete Filters and an Application to Image Processing.- Improving Generalisation Using Modular Neural Networks.- The Role and Modelling of Presynaptic Inhibition in the Visual Pathway: Applications in Image Processing.- A Curvature Primal Sketch Neural Network Recognition System.- Using GMDH Neural Net and Neural Net with Switching Units to Find Rare Particles.- A Neural Network Based Nonlinear Temporal-Spatial Noise Rejection System.- Improving the Performance of the Hopfield Network by Using a Relaxation Rate.- A New Activation Function in the Hopfield Network for Solving Optimization Problems.- On-line Learning of Object Representations.- A Neural Network Model for Blast Furnace Wall Temperature Pattern Classification.- Monitoring an Industrial Plastic Injection Moulding Machine Using Neural Networks.- Rates of Learning in Gradient and Genetic Training of Recurrent Neural Networks.- Influence of the Learning Gain on the Dynamics of Oja's Neural Network.- ATR's Artificial Brain Project: CAM-Brain Machine (CBM) and Robot Kitten (Robokoneko) Issues.- A Speaker-Independent Arabic Isolated-Spoken Digits Recognition System Using Fuzzy Kohonen Clustering Network.- Control of Complex of Parallel Operations Using Neural Network.- Using Smoothing Splines in Time Series Prediction with Neural Networks.- Evolvable Hardware Chips for Neural Network Applications.- Direct Inverse Control of Sensors by Neural Networks for Static/Low Frequency Applications.- Centre and Variance Selection for Gaussian Radial Basis Function Artificial Neural Networks.- Minimum Square-Error Modeling of the Probability Density Function.- Adaptation of NN Complexity to Empirical Information.- The RBF Neural Network in Approximate Dynamic Programming.- Adaptive Modularity and Time-Series Prediction.- Some Comparisons between Linear Approximation and Approximation by Neural Networks.- II: Genetic Algorithms - Theory and Applications.- Transposition: a Biological-Inspired Mechanism to Use with Genetic Algorithms.- Genetic Algorithms for Decision Tree Induction.- Optimising Decision Classifications Using Genetic Algorithms.- Scheduling Tasks with Nonnegligible Intertask Communication onto Multiprocessors by Using Genetic Algorithms.- Design of Robust Networks of Specific Topologies Using a Genetic Algorithm.- The Effect of Degenerate Coding on Genetic Algorithms.- Genetic Algorithms for the Identification of the Generalised Erlang Laws Parameters Used in Systems Dependability Studies.- Multiple Traffic Signal Control Using a Genetic Algorithm.- Evolving Musical Harmonisation.- A Niched-Penalty Approach for Constraint Handling in Genetic Algorithms.- A Genetic Algorithm with Dynamic Population Size.- A Genetic Algorithm with Dynamic Niche Clustering for Multimodal Function Optimisation.- Time and Size Limited Harvesting Models of Genetic Algorithm.- A General Model of Co-evolution for Genetic Algorithms.- Selection of Informative Inputs Using Genetic Algorithms.- III: Soft Computing and Uncertainty.- Parallel Evolutionary Algorithms with SOM-Like Migration and Their Application to Real-World Data Sets.- Skewed Crossover and the Dynamic Distributed Database Problem.- Improved Pseudo-Relaxation Learning Algorithm for Robust Bidirectional Associative Memory.- Self-Adaptation of Evolutionary Constructed Decision Trees by Information Spreading.- Evolutionary Programming of Near-Optimal Neural Networks.- Exploring the Relationship Between Neural Network Topology and Optimal Training Set by Means of Genetic Algorithms.- Development of Fuzzy Learning Vector Quantization Neural Network for Artiflcal Odor Discrimination System.- Differential Inclusions Mapping Simplexes to Simplexes.- Crossbar Adaptive Array: The First Connectionist Network That Solved the Delayed Reinforcement Learning Problem.- An Evolutionary Algorithm for a Non-standard Scheduling Problem.- An Evolutionary Approach to Concept Learning with Structured Data.- Genetic Redundancy: Desirable or Problematic for Evolutionary Adaptation?.- Dynamic Systems Modelling with Evolving Cellular Automata.