Matlab Neural Network Tutorial

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...

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...

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


Platforms: Matlab

Neural network poker is a Texas Hold 'Em program with the option to add a player controlled by a neural network. This program is in alpha stage so there are still some bugs and unimplemented features...


Platforms: Mac

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

This code implements the basic back propagation of error learning algorithm. the network has tanh hidden neurons and a linear output neuron, and applied for predicting y=sin(2pix1)*sin(2pix2).We didn't use any feature of neural network toolbox.


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

annie stands for Artificial Neural Network Library and is a C++ API (library) for neural network training and execution. ersions exist for both Windows and flavours of Unix (tested on Linux). The library currently has support for training, saving and executing multi-layer perceptron,...


Platforms: *nix

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

Your data is imported into a grid and used to train a neural network. The input values are forced to swing beyond their limits. The output values are forecasted by the neural network. A new neural network is created using the new inputs and forecasted outputs. The neural networks are...


Platforms: Windows

Neural networks can discover patterns in data that humans might not notice and successfully predict the future trend. Addaptron Software has developed NNSTP-1, neural network computer tool, to help stock traders in predicting stock prices for short terms. NNSTP-1 predicts future share prices or...


Platforms: Windows

Neural networks can discover patterns in data that humans might not notice and successfully predict the future trend. Addaptron Software has developed NNSTP-2, neural network computer tool, to help stock traders in predicting stock prices for short terms. NNSTP-2 predicts future share prices or...


Platforms: Windows

ffnet is meant to be an easy and fast feed-forward neural network training solution for python..


Platforms: *nix

MIDI Data Miner uses a neural network to learn correlations between notes and control changes in a MIDI file. After training MDM can augment a live MIDI stream, adding control changes based on notes received. Briefly: use MDM by connecting a MIDI device, open preferences and set MIDI input...


Platforms: *nix

scnANNlib is a Sentinel Chicken Networks Artificial Neural Network Library. Documentation on what is what can be found in README.files. Currently, the API specification and documentation can only be found in the source of the header files (in lib/), but this will be improved in later releases....


Platforms: *nix

OptimuStock is the new generation of intelligent forecasting software based on neural network technology. Don™t be intimidated by these terms. You don™t need to be an expert in artificial intelligence to use our software. In just 3 clicks, you can start to predict the stock prices....


Platforms: Windows

SPICE-MLP (the old name is SpiceNeuro or Neural Network Example - NNE) is a small application of Three-Layer Neural Network (NN) with multi-inputs and outputs, written for students who wanted to learn and develop their own NN applications. The purpose of this program is to get you started...


Platforms: Windows, Windows Vista, 7

The purpose of this program is to get you started quickly with Neural Network without having to go through lengthy theory of the Neural Network background. Once you understand these programs you will be able to consult the Neural Network materials on a need basis. Spice-SOM's arm is to introduce...


Platforms: Windows, Windows Vista, 7

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 Predictor is a neural network forecasting tool that quickly and accurately solves forecasting,classification and estimation problems in Microsoft Excel. It is designed from the ground-up to aid experts in solving real-world forecasting problems. Neural networks are a proven, widely...


Platforms: Windows, Windows 8, Windows 7, Windows Server