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Plausible Neural Networks (PNN) is an intelligent self-organized neural network developed and patented by PNN Technologies Inc. It can be used to solve many different kinds of problems such as clustering, pattern recognition, and associative memory. Compared to other neural networks, PNN provides faster learning methods in a more  unified architecture. PNN is not a black box as most other neural networks; the weight connections of PNN are based on mutual information, so knowledge discovery and rules extraction is very simple.

PNNSolution

PNNSolution is a software system, which implements PNN for general multivariate data analysis, including clustering, classification and knowledge discovery. PNNSolution takes the advantage of PNN technology and provides faster clustering and pattern recognition than traditional multivariate data clustering methods. Moreover, PNNSolution processes categorical and continuous attributes uniformly and treats missing data without introducing any artificial data to the data set. In addition to its PNN analysis capability, PNNSolution integrates several data visualization tools that allow the user to examine the data set interactively and visually. PNNSolution is written in .NET C# language. The operating system required for the program is Windows 2000 or Windows XP.

 

PNNSolution version 1.0, 2005

 

Price : US $830.00

 

 

 

For detailed information  send inquiry to

            sales@pnntech.com

 

PNN Bioinformatics Analysis

PNN Bioinformatics Analysis is a software system for the research of molecular biology systems, through the analysis of proteomic, gene expression and other biological information. Post genome bioinformatics provides the challenge to handle large-scale data set with different measurement platform.  PNN algorithm has the ability to encompass much of the rich structure found in genomic expression, proteomic, while incorporating additional information such as clinical information, putative binding sites, or functional information. The software is customized for specific areas of research. For detailed information  send inquiry to

            sales@pnntech.com

 

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