Neural Networks Credit

GINNet, also known as the Graphical Interface for Neural Networks was developed as a decision-making platform written in Java. It has been designed in order to favorize the development and use of neural networks. It was create so that it could make, neural networks, teaching and evaluation easier.

Multiple Back-Propagation is an easy to use application specially designed for the training of neural networks with the Back-Propagation and the Multiple Back-Propagation algorithms.

AnimatLab is a simple, easy to use application specially designed to combine biomechanical simulation and biologically realistic neural networks. You can build the body of an animal, robot, or other machine and place it in a virtual world where the physics of its interaction with the...


Platforms: Windows

DynNet is built as a Java library that contains basic elements that are necessary in order to build neural networks. Neural network classical models are already available (Multi-layer perceptron, Kohonen self-organizing maps, neural gas, growing neural gas, etc.).


Platforms: Windows

IntelligenceLab is a set of .NET 2.0-4.0 components for Artificial Intelligence. Includes: Neural networks, Naive Bayesian, Radial Basis Function Network, Self Organizing Map, K-Nearest Neighbor and more. Usage: Speech recognition, Face recognition, Computer vision, Gesture recognition, Robotics,...


Platforms: Windows

SAPI5-compliant Vietnamese text to speech engine Feature supports: - Synthesize Vietnamese speech with natural voices whose prosodics (duration, pause and amplitude) determined by a technique based on artificial neural networks. - Support SAPI5 interface. - Work with Vietnamese text in Unicode...


Platforms: Windows

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

Java Automated Development Environment for Neural networks. The project goal is to develop a network training application with helpful analytic features.


Platforms: Windows, Mac, Linux

NeuroEvolver is a tool for training and experimenting with one particular kind of recurrent neural networks, namely Long Short-Term Memory networks using an evolutionary learning method.


Platforms: Windows, Mac, Linux

NeuroPython is a Python module created for easy simulation of neural networks.


Platforms: Windows, Mac, Linux

Yawn: Yet Another W* Network: a java framework for developing, training and testing neural networks independently of the model and test environment.


Platforms: Windows, Mac, Linux

Nowadays, CNN becomes more and more useful in solving engineering issues. This simulation is to help you understand the original idea proposed by L.O. Chua and Yang.Please read thorough Readme.txt, original papers before changing the values of parameters


Platforms: Matlab

Neural Network Based Control System Design Toolkit Version 2The NNCTRL toolkit is a set of tools for design and simulation of control systems based on neural networks. The following designs are available:o Direct inverse controlo Internal model controlo Control by feedback linearizationo Optimal...


Platforms: Matlab

Neural Network Based System Identification Toolbox Version 2The NNSYSID toolbox contains a number of tools for identification of nonlinear dynamic systems with neural networks. Several nonlinear model structures based on multilayer perceptron networks are provided and there are also many...


Platforms: Matlab

SplitNeuron is a project for a set of data structures and functions being able to simulate large, biologically plausible, neural networks. It is based on information flow implying separation of data representing neurons (hence the project name). It includes the possibility to share load between...


Platforms: *nix

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...


Platforms: Windows

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

We introduce an algorithm based on the morphological shared-weight neural network. Being nonlinear and translation-invariant, the MSNN can be used to create better generalization during face recognition. Feature extraction is performed on grayscale images using hit-miss transforms that are...


Platforms: Matlab

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

AI::NeuralNet::BackProp is a simple back-prop neural net that uses Deltas and Hebbs rule. SYNOPSIS use AI::NeuralNet::BackProp; # Create a new network with 1 layer, 5 inputs, and 5 outputs. my $net = new AI::NeuralNet::BackProp(1,5,5); # Add a small amount of randomness to the network...


Platforms: *nix