Pattern Recognition for Data Retrieval using Artificial Neural Network

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.