Ronald Cowher Ml Shaffer

US Patent:

62893289, Sep 11, 2001

Filed:

Apr 17, 1998

Appl. No.:

9/061256

Inventors:

Ronald E. Shaffer - Alexandria VA

Assignee:

The United States of America as represented by the Secretary of the Navy - Washington DC

International Classification:

G06E 100
G06F 1518
G06G 700

US Classification:

706 20

Abstract:

A device and method for a pattern recognition system using a self-training neural network classifier with automated outlier detection for use in chemical sensor array systems. The pattern recognition system uses a Probabilistic Neural Network (PNN) training computer system to develop automated classification algorithms for field-portable chemical sensor array systems. The PNN training computer system uses a pattern extraction unit to determine pattern vectors for chemical analytes. These pattern vectors form the initial hidden layer of the PNN. The hidden layer of the PNN is reduced in size by a learning vector quantization (LVQ) classifier unit. The hidden layer neurons are further reduced in number by checking them against the pattern vectors and further eliminating dead neurons using a dead neuron elimination device. Using the remaining neurons in the hidden layer of the PNN, a global,. sigma. value is calculated and a threshold rejection value is determined.