Neural Network Stock Forecasting

The system is intended for stock market traders and consists of 3 modules: TA-1, SMAP-3, and NNSTP-2. It is a comprehensive system with user-friendly interfaces that is easy to use. Technical Analyzer TA-1 is based on predictive models including technical analysis and pattern recognition....

An artificial neural network, currently specialized to save a specific bit pattern, mainly by changing the signal propagation delays in links. More features, variables and algorithms will be added in time.

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

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

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

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

The extended Kalman filter can not only estimate states of nonlinear dynamic systems from noisy measurements but also can be used to estimate parameters of a nonlinear system. A direct application of parameter estimation is to train artificial neural networks. This function and an embeded example...


Platforms: Matlab

This function constructs a bottleneck (or autoassociative) neural network. It is used for dimensionality reduction or nonlinear principle components analysis. This function was tested under MATLAB 5.3, and requires the Neural Network toolbox.


Platforms: Matlab

EasyNN 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. The user can produce training, validating and querying files using the facilities in EasyNN or using...


Platforms: Windows

AI::NNFlex is a base Perl class for implementing neural networks. SYNOPSIS use AI::NNFlex; my $network = AI::NNFlex->new(config parameter=>value); $network->add_layer( nodes=>x, activationfunction=>function); $network->init(); $network->lesion( nodes=>PROBABILITY,...


Platforms: *nix

The SigmaPi Neural Network Simulator is designed for time-series processing and neural network research on Unix/X11. Since version 0.5, it uses the LSTM neuron model, the RTRL training algorithm and a heuristic learning rate adaptation based on local update sign-changes. It is GPL-covered, so you...


Platforms: *nix

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

Walnut is an OpenSource framework for the development of neural network simulations by both beginners and experts. It is a system that is extensible with new paradigms. Neural network architectures and simulations are portable between various platforms (notably Windows and Unix). These objectives...


Platforms: Windows

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: *nix

FullRecall is a software that learns itself about your memory in order to help you memorize knowledge effectively by scheduling optimal intervals between repetitions. Uses artificial neural network, which gradually grasps your forgetting curve, to schedule reviews for a day when you'll be...


Platforms: Windows, *nix

RHiTech NeuronNet v 1.0b - this COM component allows emulating neural network and training it by the error back-propogation algorithm. Installation with example included.


Platforms: Windows

OpenDiscreteDynamicProgrammingTemplate project founds optimal constrainted parameters of a discrete controls with second order optimization template replacing Hessian with directional derivatives and backpropagation for digital filter(as neural network).. OpenDiscreteDynamicProgrammingTemplate:...


Platforms: *nix

KMemAid is like a traditional flash-card program to help you memorise question/answer pairs, but with an important twist: it uses a neural network to schedule the best time for an item to come up for review. Difficult items that you tend to forget quickly will be scheduled more often, while...


Platforms: *nix

HyperNext Studio comprises three complementary applications (Creator, Developer, Player) that help you create, develop and distribute your own software. Together they make up a powerful but easy to use software creation system that allows hobbyists, students, educators, developers, in fact...


Platforms: Mac

Simple program for artificial neural network users. Right now the program can manipulate with Feed forward back propagation network.


Platforms: Windows, Mac, Linux