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140122 ||| eng |
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|a 9783709163849
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| 100 |
1 |
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|a Dobnikar, Andrej
|e [editor]
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| 245 |
0 |
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|a Artificial Neural Nets and Genetic Algorithms
|h Elektronische Ressource
|b Proceedings of the International Conference in Portorož, Slovenia, 1999
|c edited by Andrej Dobnikar, Nigel C. Steele, David W. Pearson, Rudolf F. Albrecht
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| 250 |
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|a 1st ed. 1999
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| 260 |
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|a Vienna
|b Springer Vienna
|c 1999, 1999
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| 300 |
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|a X, 352 p. 70 illus
|b online resource
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| 505 |
0 |
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|a 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 --
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| 505 |
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|a 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 --
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| 505 |
0 |
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|a 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 --
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| 505 |
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|a 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
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| 505 |
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|a 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 --
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| 653 |
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|a Health informatics
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| 653 |
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|a Operations research
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| 653 |
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|a Complexity
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| 653 |
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|a Operations Research/Decision Theory
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| 653 |
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|a Health Informatics
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| 653 |
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|a Artificial Intelligence
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| 653 |
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|a Computational complexity
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| 653 |
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|a Artificial intelligence
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| 653 |
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|a Decision making
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| 700 |
1 |
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|a Steele, Nigel C.
|e [editor]
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| 700 |
1 |
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|a Pearson, David W.
|e [editor]
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| 700 |
1 |
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|a Albrecht, Rudolf F.
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b SBA
|a Springer Book Archives -2004
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-7091-6384-9?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 006.3
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| 520 |
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|a From the contents: Neural networks – theory and applications: NNs (= neural networks) classifier on continuous data domains– quantum associative memory – a new class of neuron-like discrete filters to image processing – modular NNs for improving generalisation properties – presynaptic inhibition modelling for image processing application – NN recognition system for a curvature primal sketch – NN based nonlinear temporal-spatial noise 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-inspired mechanism to use with GAs (= genetic algorithms) – GA for decision tree induction – optimising decision classifications using GAs – scheduling tasks with intertask communication onto multiprocessors by GAs – design of 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
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