Software Neural Networks Artificial Intelligence

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Top: Computers: Artificial_Intelligence: Neural_Networks: Software:

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

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