Study on Prediction Model to Terminal Demand Based on Improved Genetic Neural Network

Chen Huang; Yan Huo

doi:10.4028/www.scientific.net/AMR.798-799.506

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 798-799Study on Prediction Model to Terminal Demand Based...

Study on Prediction Model to Terminal Demand Based on Improved Genetic Neural Network

Abstract:

Reasonable forecast of terminal demand is one important prerequisite of the deepening development of 3G-device industry. Through the analysis of characteristics about terminal consumption, one prediction model was used for 3G terminal demand with an artificial neural network mode in which genetic algorithm solved the problem about local minimum value of BP neural network and the input set was solved by fuzzy method, and before that the feature vectors were in the form of inconsistency measure. The corresponding marketing strategy can be put forward pertinently to facilitate fully the potential demand group and improve operational efficiency.

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Info:

Periodical:

Advanced Materials Research (Volumes 798-799)

Pages:

506-509

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.798-799.506

Citation:

Cite this paper

Online since:

September 2013

Authors:

Chen Huang, Yan Huo

Keywords:

Artificial Neural Network (ANN), Fuzzy Method, GA, Inconsistency Measure, Terminal Demand

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