Marzieh Faridi Masouleh - aDepartment of Computer and Information Technology, Ahrar Institute of Technology and Higher Education, Iran
Maryam Abedini, - Department of Electronic Engineering, College of Technical, Guilan University, Rasht, Iran

The goal of this paper is to present an information retrieval model which extracts the information out of text documents with neural languages through neural networks. In this paper, query is checked with back-propagation perceptron neural network. In this method, if the entered query is a keyword for the text, it would be added to the vector space matrix and then the proper document is chosen and returned depending on the relationship between the keyword and text documents.

Information Retrieval, Artificial Neural Network, Error Back-propagation, and Semantic web