Implementation of Bidirectional Associative Memory Neural network for Character Recognition

NCIDCAS | Special Issue | December-2018 | Published Online: 22 December 2018    PDF ( 242 KB )
Author(s)
Mrs. Rashmi Lad 1; Mrs. Vaishali Kherdekar 2

1MIT ACSC, Alandi (D), Pune (India)

2MIT ACSC, Alandi (D), Pune (India)

Abstract

In Pattern recognition we can identify the symbol, character, image and any signal. Pattern recognition is one of the applications of neural network. Neural network are mainly work for finding patterns of images, brain etc. Many algorithms are working on that but Bidirectional associative memory has limited storage pattern, limited noise. So for small pattern we can use this algorithm easily. In this paper we used two patterns ‘E’ & ‘F’ and try to find the pattern based on the target changed.

Keywords
Bidirectional Associative memory, hetro-assocative network, Neural Network
Statistics
Article View: 12