International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org

Call for Paper, Published Articles, Indexing Infromation A hybrid method of prediction based on Soft Computing Techniques, Authors : R.K.Srivastava, Atib Khan, International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), www.ijettcs.org
Volume & Issue no: Volume 4, Issue 6, November - December 2015

Title:
A hybrid method of prediction based on Soft Computing Techniques
Author Name:
R.K.Srivastava, Atib Khan
Abstract:
Abstract In Soft Computing Techniques based prediction various methods have been developed to establish the hybrid model for forecasting the future values, the present paper proposes a hybrid method of soft computing i.e; the combination of artificial neural networks and fuzzy set theory techniques. The study uses the fuzzy set theory Zadeh(1965) and fuzzy time series models introduced by Song and Chissom(1993) and Chess(1993). The prediction has also been obtained by developing an Artificial Neural Network model using back propagation algorithm. The study is aimed to find the forecast for primary education literate population of Lucknow district for a lead year by using a fuzzy time series model and back propagation algorithm. The success of the proposed model has been examined by comparing the result of proposed model with actual primary educated population of Lucknow district. Keywords: about Fuzzy time series, Fuzzy sets, Linguistic value, Back propagation algorithm
Cite this article:
R.K.Srivastava, Atib Khan , " A hybrid method of prediction based on Soft Computing Techniques " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), Volume 4, Issue 6, November - December 2015 , pp. 077-083 , ISSN 2278-6856.
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