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An Improved Elman Neural Network with Profit Factors and Its Applications

  • Limin Wang
  • Xiaohu Shi
  • Yanchun Liang
  • Xuming Han
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4113)

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Limin Wang
    • 1
    • 2
  • Xiaohu Shi
    • 1
  • Yanchun Liang
    • 1
  • Xuming Han
    • 1
    • 3
  1. 1.College of Computer Science and TechnologyJilin University, Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of EducationChangchunChina
  2. 2.Department of Computer Science and TechnologyChangchun Taxation CollegeChangchunChina
  3. 3.Institute of Information and Spreading EngineeringChangchun University of TechnologyChangchunChina

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