Neural network classification results live view (like a movie). Free software for playing with neural networks classification. Features: Easy, ready to play with, many network architectures, different shapes of training data sets, learning with backpropagation algorithm, optional momentum. For better understanding of neural networks.
NeuroSolutions is a highly graphical neural network development tool for Windows. This leading edge software combines a modular, icon-based network design interface with an implementation of advanced learning procedures, such as recurrent backpropagation, backpropagation through time and genetic optimization. The result is a virtually unconstrained environment for designing neural networks for research or to solve real-world problems.
Freeware for fast training, validation, and application of neural and conventional classifiers including multilayer perceptron, functional link network, piecewise linear network, self organizing map and K-Means. C source provided for applying trained networks. Extensive help, utilities for pre-processing and handling of training data are also provided. User-supplied txt-format training data files, containing rows of numbers, can be of any size.
Freeware for fast training, validation, and application of regression/approximation networks including the multilayer perceptron, functional link network, piecewise linear network, self organizing map and K-Means. C source for applying trained networks. Extensive help, utilities for pre-processing and handling of training data are also provided. User-supplied txt-format training data files, containing rows of numbers, can be of any size.
The NeuroSolutions for MATLAB neural network toolbox is a valuable addition to MATLAB's technical computing capabilities allowing users to leverage the power of NeuroSolutions (www.neurosolutions.com) inside MATLAB and Simulink. The toolbox features 15 neural models, 5 learning algorithms and a host of useful utilities integrated in an easy-to-use interface, which requires ?next to no knowledge? of neural networks to begin using the product.
