An improved elman neural network with profit factors and its applications

Authors:
Limin Wang;Xiaohu Shi;Yanchun Liang;Xuming Han
Affiliations:
College of Computer Science and Technology, Jilin University, Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, Changchun, China;College of Computer Science and Technology, Jilin University, Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, Changchun, China;College of Computer Science and Technology, Jilin University, Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, Changchun, China;College of Computer Science and Technology, Jilin University, Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, Changchun, China
Venue:
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
Year:
2006

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Abstract

An improved model is proposed by introducing the direction and time profit factors to Elman neural network (NN) and applied to the fields of the finial investing and atmospheric environment. Simulation results show the effectiveness of the proposed model for stock forecasting and the potential of the forecast and assessment for the atmospheric quality.