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Information Journal Paper

Title

SIMULATION OF BATCH FLUIDIZED BED DRIER USING TIME SERIES NEURAL NETWORK

Pages

  57-67

Abstract

 In this paper a method of using neural network in order to model nonlinear systems whose input and output data are measurable by TIME SERIES is being considered. Feed back neural network technique is applied in order to consider the specifications and dynamic behavior of the system in the MODELING process. This method is applied to model a BATCH FLUIDIZED BED DRIER. In present report it is shown that unlike the classic techniques, this method is able to predict the system behavior in all the stages of the process, such as; high humidity increase, high and low humidity decrease. In addition, the proposed technique has considerable accuracy and is free from using physical specifications in calculations and also using a very fast computation technique. The model is tested by applying a totally different set of data from those which used for training the network; it is observed that the MODELING results for this nonlinear dynamic process is totally authentic.

Cites

References

Cite

APA: Copy

MIR SEPAHI, A., HAMED MOUSAVIAN, M.T., & MOHAMMAD ZAHERI, M.. (2006). SIMULATION OF BATCH FLUIDIZED BED DRIER USING TIME SERIES NEURAL NETWORK. JOURNAL OF SCHOOL OF ENGINEERING, 18(2 (CHEMICAL ENGINEERING ISSUE)), 57-67. SID. https://sid.ir/paper/22539/en

Vancouver: Copy

MIR SEPAHI A., HAMED MOUSAVIAN M.T., MOHAMMAD ZAHERI M.. SIMULATION OF BATCH FLUIDIZED BED DRIER USING TIME SERIES NEURAL NETWORK. JOURNAL OF SCHOOL OF ENGINEERING[Internet]. 2006;18(2 (CHEMICAL ENGINEERING ISSUE)):57-67. Available from: https://sid.ir/paper/22539/en

IEEE: Copy

A. MIR SEPAHI, M.T. HAMED MOUSAVIAN, and M. MOHAMMAD ZAHERI, “SIMULATION OF BATCH FLUIDIZED BED DRIER USING TIME SERIES NEURAL NETWORK,” JOURNAL OF SCHOOL OF ENGINEERING, vol. 18, no. 2 (CHEMICAL ENGINEERING ISSUE), pp. 57–67, 2006, [Online]. Available: https://sid.ir/paper/22539/en

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