Constructive Neural Networks
Springer Berlin (Verlag)
978-3-642-04511-0 (ISBN)
Constructive Neural Network Algorithms for Feedforward Architectures Suitable for Classification Tasks.- Efficient Constructive Techniques for Training Switching Neural Networks.- Constructive Neural Network Algorithms That Solve Highly Non-separable Problems.- On Constructing Threshold Networks for Pattern Classification.- Self-Optimizing Neural Network 3.- M-CLANN: Multiclass Concept Lattice-Based Artificial Neural Network.- Constructive Morphological Neural Networks: Some Theoretical Aspects and Experimental Results in Classification.- A Feedforward Constructive Neural Network Algorithm for Multiclass Tasks Based on Linear Separability.- Analysis and Testing of the m-Class RDP Neural Network.- Active Learning Using a Constructive Neural Network Algorithm.- Incorporating Expert Advice into Reinforcement Learning Using Constructive Neural Networks.- A Constructive Neural Network for Evolving a Machine Controller in Real-Time.- Avoiding Prototype Proliferation in Incremental Vector Quantization of Large Heterogeneous Datasets.- Tuning Parameters in Fuzzy Growing Hierarchical Self-Organizing Networks.- Self-Organizing Neural Grove: Efficient Multiple Classifier System with Pruned Self-Generating Neural Trees.
Erscheint lt. Verlag | 27.10.2009 |
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Reihe/Serie | Studies in Computational Intelligence |
Zusatzinfo | VIII, 293 p. |
Verlagsort | Berlin |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 1330 g |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
Technik | |
Schlagworte | algorithm • algorithms • Artificial Neural Network • Calculus • Computational Intelligence • Constructive Algorithms • Control • fuzzy • Hardcover, Softcover / Technik/Allgemeines, Lexika • Intelligence • learning • learning algorithm • neural network • Neural networks • Reinforcement Learning • Training |
ISBN-10 | 3-642-04511-1 / 3642045111 |
ISBN-13 | 978-3-642-04511-0 / 9783642045110 |
Zustand | Neuware |
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