Neural Fuzzy

Neural network classification results live view (like a movie). Free software for playing with neural networks classification. Major features * Easy, ready to play with. * Live view. * Many network architectures. * Different shapes of training data sets. * Learning with backpropagation...

Fuzzy File Find accurately finds the file you want, even when you are not sure of the file name or the file's content. Conventional search technology requires exact matches or wild card characters to find the file you want. Fuzzy File Find uses this a fuzzy seacrh algorithm to seacrh for either a...

NeuralCode is an industrial grade Artificial Neural Networks implementation for financial prediction. The software can take data like the Opening price, High, Low, Volume and other technical indicators for predicting or uncovering trends and patterns. It is designed to utilize Supervised Learning...


Platforms: Windows

Joone is a neural net framework written in Java(tm). It's composed by a core engine, a GUI editor and a distributed training environment and can be extended by writing new modules to implement new algorithms or architectures starting from base component


Platforms: Windows, Mac, Linux

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

Geeks Artificial Neural Network (G.A.N.N) is an open source project that started with the philosophy of being a new more advanced A.N.N that works as a platform for other applications. In other words, G.A.N.N should be considered as a 'Black Box'.


Platforms: Windows, Mac, BSD, Linux

iSNS is an interactive neural network simulator written in Java/Java3D. The program is intended to be used in lessons of Neural Networks. The program was developed by students as the software project at Charles University in Prague.


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

Neuroph is lightweight Java Neural Network Framework which can be used to develop common neural network architectures. Small number of basic classes which correspond to basic NN concepts, and GUI editor makes it easy to learn and use.


Platforms: Windows, Mac, Linux

A Java application to visualize fuzzy rules written in ARL (ABLE Rule Language).


Platforms: Windows, Mac, Linux

Open source, fast and simple neural processing MATLAB scripts, functions and algorithms. File IO, spike detection, signal processing, seizure detection, closed loop. Functions are compatible with Blackrock Microsystems NEV and NSx files.


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

SNARLI (Simple Neural ARchitecture LIbrary) is a Java package containing a back-prop layer class and classes for the Self-Organizing Map and Incremental Growing Grid. The back-prop class supports sigma-pi connections and back-prop-through-time.


Platforms: Windows, Mac, Linux

Given a neural network object, this function returns the closed, symbolic, expression implemented by the network (as a string).This allows you to use a neural network model without relying on the neural network toolbox.Note I only implemented for feed forward nets (MLPs) and not all possible...


Platforms: Matlab

This package contains the following files:example.m: Illustrates how to use the function IT2FLS.IT2FLS.m: Implements an interval type-2 fuzzy logic system.A Brief Tutorial on Interval Type-2 Fuzzy Sets and Systems.pdfRepresentation of an IT2 FS.pdfAll these files, and many other useful papers,...


Platforms: Matlab

This add-in to the PSO Research toolbox (Evers 2009) aims to allow an artificial neural network (ANN or simply NN) to be trained using the Particle Swarm Optimization (PSO) technique (Kennedy, Eberhart et al. 2001).This add-in acts like a bridge or interface between MATLABd-deOaos NN toolbox and...


Platforms: Matlab

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

Character Recognition Using Neural NetworksSteps to use this GUI.1. Open the GUI figure, run it. (accept the matlab to change its directory to new location where the file is stored)2. First we need to teach Character to computer. For this type the Character in the textbox space provided and press...


Platforms: Matlab

Fuzzy control algorithm is used to control a three degree of freedom PUMA560 robot. The robot dynamics are taken from:Brian Armstrong, Oussama Khatib & Joel Burdick , d-deDUThe Explicit Dynamic Model and Inertial Parameters of the PUMA 560 Armd-deDt , Stanford University, Artificial Intelligence...


Platforms: Matlab

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