Systolic Architecture For Identification Of Independent Fuzzy Basis Vectors For Inference Of Pattern Grammars

A. K. Ray; A. K. Majumdar

doi:10.1117/12.940285

10 September 1987 Systolic Architecture For Identification Of Independent Fuzzy Basis Vectors For Inference Of Pattern Grammars

A. K. Ray, A. K. Majumdar

Author Affiliations +

Proceedings Volume 0768, Pattern Recognition and Acoustical Imaging; (1987) https://doi.org/10.1117/12.940285
Event: International Symposium on Pattern Recognition and Acoustical Imaging, 1987, Newport Beach, CA, United States

Abstract

Applications of fuzzy set theory to various disciplines like pattern recognition, image processing etc. have gained paramount importance in recent years. In many fuzzy pattern recognition systems identification of a set of independent fuzzy vectors in fuzzy matrices are required to be performed in parallel or pipe line fashion for enhancement of speed of the system. For example, in fuzzy syntactic analysis of patterns it is required to identify a set of fuzzy independent basis vectors for inference of pattern grammars from a set of positive samples of pattern strings. Due to the iterative nature of these operations, these jobs become computationally demanding ones. A semi systolic array of processors have been designed for parallel identification of such a set of independent vectors.

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A. K. Ray and A. K. Majumdar "Systolic Architecture For Identification Of Independent Fuzzy Basis Vectors For Inference Of Pattern Grammars", Proc. SPIE 0768, Pattern Recognition and Acoustical Imaging, (10 September 1987); https://doi.org/10.1117/12.940285

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