nnToolKit Neural Network Toolkit - MATLAB-Based Algorithm Library with COM Component Support

The nnToolKit Neural Network Toolkit is a collection of neural network algorithm functions developed based on MATLAB's Neural Network Toolbox. These functions are designed to operate independently within the MATLAB environment and can be compiled into DLL components. The resulting DLL components function as independent COM objects that can be directly integrated with Visual Basic, Visual C++, C++ Builder, and other COM-supporting high-level languages. Key algorithmic implementations include enhanced variants of Backpropagation (BP) algorithms featuring improved convergence properties, fuzzy neural networks combining fuzzy logic with neural architectures, wavelet neural networks utilizing wavelet transformations for feature extraction, and genetic algorithm-based optimization techniques for neural network weight tuning. The toolkit's modular design allows users to extend its functionality by implementing custom functions through standardized interfaces, enabling adaptation to specialized algorithmic needs. Each function follows consistent input/output parameter conventions, facilitating seamless integration and customization.