Neural Nets

This script uses the IAC (interactive-competition-and-activation) model to analyze a database. Scalyze a dils: - The example is taken from Parallel Distributed Processing, a classic text on neural networks. - The field values represent neurons. - The database rows represent excitory...

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...

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

RNNLIB is a recurrent neural network library for sequence learning problems. Applicable to most types of spatiotemporal data, it has proven particularly effective for speech and handwriting recognition.


Platforms: Mac

Similar to using the extended Kalman filter, Neural Networks can also be trained through parameter estimation using the unscented Kalman filter. This file provides a function for this purpose. It also includes an example to show how to use this function. It requires the unscented Kalman filter,...


Platforms: Matlab

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

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

Comprehensive system for stock market traders and investors, consists of the 5 modules. Technical indicators processor determines which indicator should be trusted more for particular market conditions and specific shares using back-testing simulation. It composes the forecast from indicators...


Platforms: Windows, Windows 7, Windows Server

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

In this article, procedure for using the the Matlab Neural Toolbox in order to identify and control an hypothetical non linear plant is explained with details enough to help anybody interested in that issue to know what to do and how to do a complete simulation using the tools that Matlab 7.1 and...


Platforms: Matlab

Multilayer Perceptron Neural Network Model and Backpropagation Algorithm for Simulink.Multilayer Perceptron Neural Network Model and Backpropagation Algorithm for Simulink.Marcelo Augusto Costa FernandesDCA - CT - UFRNmfernandes@dca.ufrn.br


Platforms: Matlab

The attached zip file contains what is needed to implement a two layer neural network. This will hopefully be the first part of a broader collection of neural network tools.It can be used to train and simulate a NN with two layers, an input layer and an output layer. The output layer's activation...


Platforms: Matlab

Again I'm uploading my homework...This is a GUI which enables to load images and train a Hopfield network according to the image.You can run the network on other images (or add noise to the same image) and see how well it recognize the patterns.Hopfield neural networks simulate how a neural...


Platforms: Matlab

A very simple program that trains a neural network with 9 images(3 rectangles, 3 triangles and 3 circles)and then simulates the neural network in way to recognize 3 others images(1 rectangles, 1 triangles and 1 circles).


Platforms: Matlab

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

Cognity is designed as an object-oriented neural network library for the Java programming language. The main goal of the library is to provide an easy-to-use, high level architecture for neural network computations along with reasonable performance.


Platforms: Windows

Develop a Matlab program to demonstrate a neural network autoassociative memory. Show the importance of using the pseudoinverse in reducing cross correlation matrix errors. Show the performance of the autoassociative memory in noise. The results are contained in the Matlab file assoc_mem_demo.m


Platforms: Matlab

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

This is a learning model for matrix-based data. It can be more efficient than standard vector-based models when the training sample is small or the inputs are matrices, since this model has less parameters than standard ones and exploits an inner structure of the inputs. This model can be...


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