Neural Network class library: Its a C/C++ implementation that provides following three neural architecture - Feed-forward network, Radial Basis function network, multi-layer perceptron and Self-Organizing Maps.
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Neural Network Library is a useful library for users looking for a lightweight c++ neural network implementation. The source contains examples to help get you started. The library is easy to use and fairly simple to understand.
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File released: /nnlib/Version-1.1/nnlib-1.1.tar.gz
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nnlib Version-1.1 file released: nnlib-1.1.tar.gz
CHANGES TO NNLIB-1.1 Date: 24 April 2009, Friday ------------------------------- 1. New KSOM class is introduced 2. FFN Class is rewritten incorporating better memory management. 3. Insertion operator (<<) is used to display network information. 4. Documentation is included along with a presentation explaining the usage of functions. 5. Example programs are thoroughly tested for correctness
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nnlib Version-1.0 file released: nnlib1.0.tar.gz
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File released: /nnlib/Version-1.0/nnlib1.0.tar.gz
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bnns
Blue's Neural Network Simulator (bnns) is a research tool for interactive training of artificial neural networks, which enables a user to simulate and visualize the learning process of a Multi-Layer Perceptron type neural network (mlp).
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