Neural Network Code In Matlab


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Sharky Neural Network 0.9.Beta  v.1.0

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.

Neural Network Component (ActiveX)  v.1.0

Artificial Neural System Component is designed for researchers in the fields of machine learning, it can be used to construct Back Propagation Neural Network and to train it with provided samples, then finally recall it with appropriate data.

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Interactive Neural Network Simulator  v.1.0

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.

Geeks Artificial Neural Network  v.1.4

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".

Olsoft Neural Network Library  v.1.0

OLSOFT Neural Network Library is the class to create, learn and use Back Propagation neural networks and SOFM (Self-Organizing Feature Map). The library makes integration of neural networks' functionality into your own applications easy and seamless.

Artificial Neural Network  v.1.0

Create artificial neural networks. Artificial Neural Network demonstrate artificial intelligence. Taking advantage of serialization, there are two parts of the network. The actual network, and then training data. The C# version of the Artificial Neural ...

Bayesian Network tools in Java (BNJ)  v.2006

Bayesian Network tools in Java (BNJ) is an open-source suite of software tools for research and development using graphical models of probability. It is published by the Kansas State University Laboratory for Knowledge Discovery in Databases (KDD).

Java Neural Network Framework Neuroph  v.2.5.1

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.

NeuroXL Predictor  v.4.0.5

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.

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 ...

Neural Creator  v.1.0

Neural Creator is our visually based neural network development system that can be trained to perform pattern matching, feature recognition or make predictions on noisy or fuzzy data. It has an easy to use interface and comes with example projects and ...

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 ...

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 ...

EasyNN-plus

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 ...

JustNN

JustNN 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 ...

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