Neuroph A free and open source lightweight Java neural network framework to develop and simulate common neural network architectures
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simulate develop simulate neural network neural network simulator neural network development neural network

Neuroph Description

A free and open source lightweight Java neural network framework to develop and simulate common neural network architectures Neuroph is an open source lightweight Java Neural Network Framework which can be used to develop common neural network architectures. Neuroph contains well designed Java library with small number of basic classes which correspond to basic NN concepts, and it also has a nice GUI neural network editor.NOTE: Neuroph is published as open source library under the GNU Lesser General Public License v3.0 and it is free for you to use it under those terms. Here are some key features of "Neuroph": · Small number of the essential classes (only 10) which can be easily reused · Support for supervised and unsupervised learning rules · An easy-to-follow structure and logic. · GUI tool for neural network development easyNeurons · Supported neural network architectures · Adaline · Perceptron · Multi Layer Perceptron with Backpropagation · Hopfield network · Konhonen network · Hebbian network · Maxnet · Competitive network · RBF network · NFR Requirements: · Java What's New in This Release: · kohonen network sample had bug with drawing · fixed · backpropagation with tanh was throwing exception fixed And some new features: · basic neuron sample · unsupervised hebbian learning · oja learning rule · new GUI components JNeuron, JLayer and JNeuralNetwork which provide cleaner API and new features like neuron color depending of activation level

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