Neural Fuzzy

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

v(1.0) fSC-Net - Win Neural Net Fuzzy Pattern Recognition. Quick, hassle-free automatic construction of Neural Networks. Incremental learning. Support of fuzzy logic. Hybrid symbolicconnectionist representation. Complete graphical support of training and testing. Point and click recall of network... Platforms: Windows

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

Neural Creator is our visually based neural network development system that can be trained to perform pattern matching, feature recognition or make predictions on noisy or fuzzy data. It has an easy to use interface and comes with example projects and prebuilt neural network plugins allowing you... Platforms: Mac

Locale::Maketext::Fuzzy is a Perl module for Maketext from already interpolated strings. SYNOPSIS package MyApp::L10N; use base Locale::Maketext::Fuzzy; # instead of Locale::Maketext package MyApp::L10N::de; use base MyApp::L10N; our %Lexicon = ( # Exact match should always be preferred... Platforms: *nix

Fuzzy adventure is a fun 2D platform game. This is a fun 2D platform game I am working on. It is in alpha stage, so expect bugs and bad maps, etc. There is no story yet, but the general thought is that you play as a rabbit called fuzzy combating evil in some nice fantasy land. It is very... Platforms: *nix

Inspired by neurons and their connections in the brain, neural network is a representation used in machine learning. After running the back-propagation learning algorithm on a given set of examples, the neural network can be used to predict outcomes for any set of input values. Neural Networks... Platforms: Windows

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

Tremani Neural Network allows you to build, train and employ neural networks in PHP. It is easy to use and set up, and does not rely on external software to be installed on your webserver. Above all, the software is open source, which means you can use and modify it freely.A neural network can be... Platforms: Windows, Mac, *nix, PHP, BSD Solaris

The SigmaPi Neural Network Simulator is designed for time-series processing and neural network research on Unix/X11. It uses the LSTM neuron model, the RTRL training algorithm and a heuristic learning rate adaptation based on local update sign-changes.To use SigmaPi, you should know how a... Platforms: Windows, Mac, *nix, C/C++, 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

It is known that there is no sufficient Matlab program about neuro-fuzzy classifiers. Generally, ANFIS is used as classifier. ANFIS is a function approximator program. But, the usage of ANFIS for classifications is unfavorable. For example, there are three classes, and labeled as 1, 2 and 3. The... Platforms: Matlab

This GUI demonstrates the use of fuzzy logic to control the steering of a car. Two sensors, one on each side of the car, detect the distances from the pavement, with which the "error" critereon is calculated. This, along with the change in error make the two inputs for our fuzzy system. The... Platforms: Matlab

This program illustrates the Fuzzy c-means segmentation of an image.This program converts an input image into two segments using Fuzzy k-means algorithm. The output is stored as "fuzzysegmented.jpg" in the current directory.This program can be generalised to get "n" segments from an image by... Platforms: Matlab

Comparison of Fuzzy Logic principles along with Fuzzy Type -2 Platforms: Matlab

The form of a single layer feed forward neural network lends itself to finding the gradient. This is useful when the network is used for surrogate optimization or other algorithms that use gradients. Requires creating a file by modifying a NN toolbox file. Platforms: Matlab

Gui for washing Machine using fuzzy logic. this is a basic idea for Fuzzy system implementation. Platforms: Matlab

Simple tutorial on pattern recognition using back propagation neural networks. the program has 3 classes with 3 images per class. Platforms: Matlab

The Fuzzy Relational Calculus Toolbox is companion software to the book Fuzzy Relational Calculus - Theory, Applications and Software (with CD-ROM) by Ketty Peeva & Yordan Kyosev, ISBN 981-256-076-9, Advances in Fuzzy Systems Applications and Theory - Vol. 22, World Scientific Publishing... Platforms: Matlab

I have built the rules in simulink and not using the fuzzy logic toolbox.This controller is a two input one output fuzzy controllerThe first input is the error=x. The second input is the error_dot=y(time derivative of the error)The output of the fuzzy controller is the CHANGE in the control... Platforms: Matlab