Download
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
Project Samples
Categories
Neural Network LibrariesFollow PINNLib
Other Useful Business Software
Our Free Plans just got better! | Auth0
You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
Rate This Project
Login To Rate This Project
User Reviews
-
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!