The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS
Transactions ID Number: 52-204
Full Name: Hamid Yazdani
Position: Engineer
Age: ON
Sex: Male
Address: Iran-mazandran- noor - university avenue - soroosh street
Country: IRAN
Tel: 009809111209480
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E-mail address: eng.hamid.yazdani@gmail.com
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Title of the Paper: A Comparison of Hopfield Neural Network and Box-Jenkins Model in chaotic Time Series Analysis
Authors as they appear in the Paper: Hamid Yazdani
Email addresses of all the authors: eng.hamid.yazdani@gmail.com
Number of paper pages: 10
Abstract: Many neural network methods had been proposed and applied in chaotic time series forecasting since the past decade. To gain a better understanding a comparison is made with the more conventional method in chaotic time series by describing the advantages and disadvantages of using neural networks. The chaotic time series prediction capabilities of the multi-layered perceptron neural network model (MLP) and the time series Box-Jenkins model (SARIMA) are also compared in this paper
Keywords: Chaotic time series, Prediction, Box jenkis method, Hopfield network, RMSE
EXTENSION of the file: .doc
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How Did you learn about congress: eng.hamid.yazdani@gmail.com
IP ADDRESS: 217.11.28.225
