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C++ implementation of high-performance associative neural networks models based on pseudo-inverse learning rule, also known as projection rule or attractor-based rule
Features
- This project is based on the work and PhD thesis of Dmitry O. Gorodnichy and Oleksiy K. Dekhtyarenko
- Implementation of most known and efficient learning rules for associative Hopfield-like attractor-based neural network
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Very useful library and sample codes to understand and implement associative neural networks, can be used to implement many associative recognition tasks, such as face recognition. The only available free codes for this type of neural networks. Great for students and researchers!