Pattern Recognition for Data Retrieval using Artificial Neural Network

Autor:	Rashmi R Deshpande, Jyoti R Munavalli
Rok vydání:	2021
Předmět:	Data retrieval Artificial neural network Computer science business.industry Pattern recognition (psychology) General Engineering Pattern recognition Artificial intelligence business
Zdroj:	Journal of University of Shanghai for Science and Technology. 23:1436-1447
ISSN:	1007-6735
DOI:	10.51201/jusst/21/06457
Popis:	Data retrieval is an important aspect of data management. In this paper, we design an ANN to recognize the learned patterns. We use a three-layer feed-forward network for the training of patterns (bitmap data). We implement two kinds of recognition: forced recognition and custom-specific recognition. The ANN model developed recognizes the pattern even if there is variation in the applied test patterns from the learned/trained patterns. In particular, we discuss the fault tolerance offered by neural networks. The characteristic of fault tolerance depends upon the type of distribution taken from random numbers. The conventional network is based on the concept of memorization whereas the neural network is based on the concept of generalization.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::efb04054f10f0652519917c4fd36ce0c https://doi.org/10.51201/jusst/21/06457 Zobrazit plný text záznamu