A massively parallel architecture for a self-organizing neural pattern recognition machine
Computer Vision, Graphics, and Image Processing
The Pattern Recognition Basis of Artificial Intelligence
The Pattern Recognition Basis of Artificial Intelligence
Bioinformatics: Sequence, Structure and Databanks : A Practical Approach
Bioinformatics: Sequence, Structure and Databanks : A Practical Approach
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
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In genetic engineering, conventional techniques and algorithms employed by forensic scientists to assist in identification of individuals on the basis of their respective DNA profiles involves more complex computational steps and mathematical formulae, also the identification of location of mutation in a genomic sequence in laboratories is still an exigent task. This novel approach provides ability to solve the problems that do not have an algorithmic solution and the available solutions are also too complex to be found. The perfect blend made of bioinformatics and neural networks technique results in efficient DNA pattern analysis algorithm with utmost prediction accuracy.