Dynamic Fuzzy Neural Networks
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Resource Overview
Functional dynamic fuzzy neural network implementation with comprehensive codebase, based on Wu Shiqian's "Dynamic Fuzzy Neural Networks" reference book. Includes algorithm implementations for fuzzy rule generation, parameter adaptation, and neural structure optimization.
Detailed Documentation
This documentation covers the dynamic fuzzy neural network program and its operational characteristics. The implementation features adaptive network structures capable of self-organizing fuzzy rules through incremental learning algorithms. Key components include membership function adaptation using gradient descent methods and rule pruning mechanisms based on significance measures. For comprehensive theoretical background, we recommend consulting the reference book "Dynamic Fuzzy Neural Networks" by Wu Shiqian, which details the mathematical foundations and implementation strategies for such systems. The code architecture supports real-time parameter tuning and dynamic node creation/deletion during training phases.
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