Constructive Neural Networks /
| Corporate Author: | |
|---|---|
| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2009.
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| Edition: | 1st ed. 2009. |
| Series: | Studies in Computational Intelligence,
258 |
| Subjects: |
Table of Contents:
- 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.