Matlab Neural Network Toolbox Genetic


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NeuroXL Classifier

NeuroXL Classifier is a neural network data classifying add-in for Microsoft Excel. ClassifierXL is designed for classifying data in Microsoft Excel. Its ability to handle numerous, often-interrelated variables makes it an excellent "data mining" tool ...

MemBrain  v.3. 1. 2003

MemBrain is a powerful graphical neural network editor and simulator for Microsoft Windows, supporting artificial neural networks of arbitrary size and architecture.

Some core features of MemBrain are:

* Transfer of trained neural ...





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Digital Physiognomy  v.1 52

Digital Physiognomy uses a sophisticated neural network to identify correlations between facial features and psychological characteristics using photo identification techniques recognized by law enforcement professionals.
Only facial features that ...

NeuNet Pro  v.2.30.0014

NeuNet Pro is a complete neural network development system. Neural networks can be used for pattern recognition, data mining, market forecasting, medical diagnosis, sports handicapping... almost any activity where you need to make a prediction based on ...

NeuroDiet  v.3 4

NeuroDiet is a neural network application that learns how the foods you eat are related to your health and fitness. All the neural network functions are managed automatically. You don't need to know anything about neural networks. All you need to do is ...

EasyNN  v.8.0

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 ...

Neuroph  v.2.5.1 RC 2

Neuroph is Java framework for neural network development. It contains well designed, open source Java library with small number of basic classes which correspond to basic NN concepts. Also has nice GUI neural network editor to quickly create Java neural ...

PredictorCMD  v.1.0

PredictorCMD is a neural network forecasting tool for the command line, can quickly and accurately solves forecasting and estimation problems and works from command line. It is designed from the ground-up to aid professionals in solving real-world forecasting ...

Neural Pattern Recognition  v.6.0

Neural Pattern Recognition is implemented using Kohonen neural network and can recognize common stock patterns such as Head & Shoulders, Double Tops, Double Bottoms, Rounding Top, Rounding Bottom, Up Trend, Down Trend, Range, Triangle.
You could simply ...

Neural Networks  v.4.3.7

Create neural networks fast and easy. 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 ...

Delayed Response Network  v.1.0

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.

Java Neural Modeling Framework new GUI  v.1.0

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.

GoldenGem  v.2 4

The GoldenGem program is one of the best neural network stock prediction programs. It contains a sophisticated mathematical calculation. The program is used with succes by the top traders. As you use it you will se three traces going across the graph: ...

TradingSolutions  v.4.08.0403

Use any combination of financial indicators in conjunction with advanced neural networks and genetic algorithms to create remarkable effective end-of-day or real-time trading models for the stock, futures and forex markets. TradingSolutions' user-friendly ...

NeuroXL Clusterizer  v.4.0.5

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 ...

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