Software Neural Networks Artificial Intelligence

Software

This subcat is for software used to develop new neural network models, and not for commercial purposes.

• Top/Computers/Artificial Intelligence/Machine Learning/Software

• - An environment for neural network research, design, and simulation within MATLAB.
  
• - A platform for simulating complex neural systems.
  
• - Icon-based neural network development software. Supports several types of networks and training algorithms. Trial version is available.
  
• - Open-source software for simulating spiking neural networks, written in C++.
  
• - MS Excel add-ins based on neural networks. Designed for predicting, classification and financial forecasting.
  
• - A standard environment for evaluating the performance of learning methods. Includes a number of datasets and an archive of learning methods.
  
• - A simulation system for modeling large-scale general neural networks.
  
• - Provides a development environment for the design, simulation and testing of neural networks and their applications up to the production of an optimized software solution.
  
• - A set of MATLAB tools for neural network based identification of nonlinear dynamic systems.
  
• - Research project and Windows software with the emphasis on the evolving intelligence.
  
• - Neural network freeware for building prediction and classification models in Excel. Uses backpropagation. Can handle missing values and categorical data.
  
• - Open source neural network library to create multi-layer perceptrons. Written in C#.
  
• - Java backpropagation neural network simulator. Supports wizard-based GUI and performance monitoring charts.
  
• - Open source Java implementation of feed-forward neural nets: multi-layer perceptrons, generalized and modular feed-forward networks.
  
• - Showcases a java applet designed to recognize hand printed digits using a neural network. Digits can be drawn using the mouse and recognized by the applet in the browser.
  
• - Neural network library implemented in ANSI C. Creates multilayer feedforward networks with support for both fully connected and sparse connected networks. Supports execution in fixed point, for fast execution on systems like the iPAQ.
  
• - A library of MATLAB functions for simulating neural network algorithms based on the book Neural Networks for Pattern Recognition by Chris Bishop.
  
• - A simulation environment for research on applications of neural networks. Written in C and has an X based GUI.
  
• - A back propagation neural network application.
  
• - Free interactive environment for Mathematica includes pattern recognition and time-series prediction samples.
  
• - An open source library implementing artificial neural networks.
  
• - Neural network software for technical analysis and stock market trading. Demo is available.
  
• - An opensource .NET OOP library project written in C# to generate, propagate and train complex neural feedforward networks.
  
• - A neural network based system to recognize leaves written in Java. A Java-Applet is also available.
  
• - Model Manager for development of bayesian neural networks.
  
• - Provides programming tools for rapid application development of artificial intelligence systems.
  
• - LTF-C neural networks simulator for solving classification problems.
  
• - Free software project. Implements a general feed forward neural network and some training techniques.
  
• - Java sources for temporal difference learning Random Walk and Tic Tac Toe.
  
• - Neural network simulator based on C and Tcl. Made up of C libraries to build networks, and pre-built simulators.
  
• - An open project about simulating human-like intelligence with the help of neural networks.
  
• - Neural network software and Excel add-ins for forecasting and data analysis. Supports several algorithms. Trial versions are available.
  
• - A stock market predictor based on neural networks.
  
• - Neural network software for Windows with numeric, text and image functions.
  
• - Forecasting and estimation software based on neural networks. Demo version available.
  
• - A free java-based neural network simulation kit.
  
• - A library of state-of-the-art machine learning algorithms. Licensed under the GPL, and designed for Unix and Linux environments.
  
• - A freeware environment for development and application of artificial neural networks.
  
• - Java Object Oriented Neural Engine is a free java neural net framework. Can be extended writing new modules.
  
• - Neural network COM+ components and development environment for forecasting and data analysis. Supports several algorithms. Trial version is available.
  
• - Neural network for classification and regression problems. Supports ODBC and Excel.
  
• - Neural network simulators for eight different network architectures with embedded example applications coded in portable ANSI C.
  
• - Software for simulation of back propagation neural networks. Evaluation version available.
  
• - A neural-network simulation system based on C++. This is the next generation of the PDP software originally released with McClelland and Rumelhart's PDP book.
  
• - Professional II/PLUS is a comprehensive neural network development environment. Available for Windows and Unix. Predict is a neural network tool for solving prediction and classification problems. Available for Unix or as an Excel add-in for Windows.
  
• - A family of Java based computer products for neural network applications.
  
• - A tutorial on how to construct custom neural networks starting from an empty network object.
  
• - C++ libraries: multi-layer perceptron with stochastic learing and genetic algorithms.
  
• - Open-source neural network library for C++ (Windows and Linux). Support for MLP, RBF and Hopfield networks. Interfaces with Matlab's Neural Network Toolbox.
  
  

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