Neural Networks Software

Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported.It... Platforms: BSD Solaris

Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported.It... Platforms: BSD Solaris

This project provides matlab class for implementation of convolutional neural networks. This networks was developed by Yann LeCun and have sucessfully used in many practical applications, such as handwritten digits recognition, face detection, robot navigation and others (see references for more... Platforms: Matlab

SFAM is an incremental neural network classifier. It is a simple and fast version of Fuzzy ARTMAP (FAM). Both FAM and SFAM produce the same output given the same input.References:[1] Kasuba, T. (1993). "Simplified fuzzy ARTMAP." AI Expert, Nov., 18d-deOCt25.[2] Carpenter, G. A., Grossberg, S.,... Platforms: Matlab

This package includes files for modelling nonlinear dynamic systems using a recurrent generalized neural network. The learning scheme uses the complex method of nonlinear nonderivative optimization, thereby avoiding the problems of computing the derivative of an infinite impulse response filter... Platforms: Matlab

Psychonet is a  tool for analyzing data.  Simply put, it finds patterns based on previous history that has been stored in the network through a process known as training.  Once a Psychonet neural network has been trained it can quickly compute answers or predictions given a new set of current... Platforms: Windows, Mac, *nix, Windows CE

With the help of advanced algorithms based on neural networks this revolutionary software will predict Tennis match results with great accuracy! - New versions of Advanced and Smart Neuronet algorithms, high winning rates expected ! - Incredibly simple to use! - 100% automatic, no need to enter... Platforms: Windows

With the help of advanced algorithms based on neural networks this revolutionary software will predict greyhounds racing results with great accuracy! - Incredible simply to use! - 100% automatic, no need to enter any data! - Gives you the best recommendations for the day, WIN, PLACE or LAY ! -... Platforms: Windows

NeuroXL Clusterizer is a neural network add-in for Microsoft Excel. NeuroXL Clusterizer is an add-in for Excel designed to aid experts in real-world data mining and pattern recognition tasks. It hides the underlying complexity of neural network processes while providing graphs and statistics for... Platforms: Windows

NeuroXL Package is a neural network toolkit for Microsoft Excel. It consists of NeuroXL Predictor and NeuroXL Clusterizer. NeuroXL Predictor add-in is a neural network forecasting tool that quickly and accurately solves forecasting and estimation problems in Microsoft Excel. It is designed... Platforms: Windows, Windows 8, Windows 7, Windows Server

CILib is a framework for developing Computational Intelligence software in swarm intelligence, evolutionary computing, neural networks, artificial immune systems, fuzzy logic and robotics. Platforms: Windows, Mac, Linux

Program to performing the complete cycle of neural networks analysis: preparing data, choosing neural network (CasCor, MP, LogRegression, PNN), learning of network, monitoring learning state, ROC-analysis, optimization of network parameters using GA. Platforms: Windows, Mac, Linux

This project provides a set of Python tools for creating various kinds of neural networks, which can also be powered by genetic algorithms using grammatical evolution. MLP, backpropagation, recurrent, sparse, and skip-layer networks are supported. Platforms: Windows, Mac, Linux

Cellular neural networks (CNN) are a parallel computing paradigm similar to neural networks, with the difference that communication is allowed between neighbouring units only.in this system, 'A' template is feedback matrix, and 'B' template is control matrix.also, 'I' is Bias value.all image... Platforms: Matlab

The extended Kalman filter can not only estimate states of nonlinear dynamic systems from noisy measurements but also can be used to estimate parameters of a nonlinear system. A direct application of parameter estimation is to train artificial neural networks. This function and an embeded example... Platforms: Matlab

JavaSOM package is an implementation of self-organizing maps (SOM), based on neural networks, to Java2 programming language and utilization of XML based application languages for information exchange and visualization. Platforms: *nix

SINCO is a GPL library with functions to implement Artificial Neural Networks simulators. You are free to define the network (ilimited neurons and layers) and the functions (training, threshold, etc.). Platforms: *nix

EasyNN is a neural network system for Microsoft Windows. It makes the creation of neural networks easy. It allows the user to produce multilayer neural networks from a grid or from text files. The user can produce training, validating and querying files using the facilities in EasyNN or using... Platforms: Windows

Alyuda Forecaster XL is a forecasting tool for MS Excel based on neural networks. It is the first choice for Excel users who need a quick-to-learn and reliable forecasting tool embedded into familiar Excel interface. Forecaster XL is designed especially for easy and reliable forecasting, saving... Platforms: Windows

EasyNN-plus is a neural network system for Microsoft Windows. It makes the creation of neural networks easy. It allows the user to produce multilayer neural networks from a grid or from text files and images. The user can produce training, validating and querying files using the facilities in... Platforms: Windows