CARBON MONOXIDE PREDICTION USING NOVEL INTELLIGENT NETWORK

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ABBASPOUR M.; RAHMANI A.M.; TESHNEHLAB M.

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Journal Paper

Paper Information

Journal: INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY (IJEST) Year:2005 | Volume:1 | Issue:4 Page(s): 257-264

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Information Journal Paper

Title

CARBON MONOXIDE PREDICTION USING NOVEL INTELLIGENT NETWORK

Author(s)

ABBASPOUR M. | RAHMANI A.M. | TESHNEHLAB M. | Issue Writer Certificate

Keywords

CARBON MONOXIDE

CEREBELLAR MODEL ARITHMETIC COMPUTER (CMAC)

TIME SERIES

TIME DELAY CMAC (TD-CMAC)

CARBON MONOXIDE PREDICTION

Abstract

This paper introduces a new structure in neural networks called TD-CMAC, an extension to the conventional Cerebellar Model Arithmetic Computer (CMAC), having reasonable ability in TIME SERIES prediction. TD-CMAC, the conventional CMAC and a classical neural network model called Multi-Layer Perceptron (MLP) are simulated and evaluated for 1-hour-ahead prediction and 24-hour-ahead prediction of CARBON MONOXIDE as one of primary air pollutants. CARBON MONOXIDE data used in this evaluation were recorded and averaged at Villa station in Tehran, Iran from October 3thrd. 2001 to March 14th. 2002 at one-hour intervals. The results show that the errors made by TD-CMAC is fewer than those made by other models.

Cites

PARTICLE SWARM OPTIMIZATION FEEDFORWARD NEURAL NETWORK FOR MODELING RUNOFF

References

Cite

APA: Copy

ABBASPOUR, M., RAHMANI, A.M., & TESHNEHLAB, M.. (2005). CARBON MONOXIDE PREDICTION USING NOVEL INTELLIGENT NETWORK. INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY (IJEST), 1(4), 257-264. SID. https://sid.ir/paper/284851/en

Vancouver: Copy

ABBASPOUR M., RAHMANI A.M., TESHNEHLAB M.. CARBON MONOXIDE PREDICTION USING NOVEL INTELLIGENT NETWORK. INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY (IJEST)[Internet]. 2005;1(4):257-264. Available from: https://sid.ir/paper/284851/en

IEEE: Copy

M. ABBASPOUR, A.M. RAHMANI, and M. TESHNEHLAB, “CARBON MONOXIDE PREDICTION USING NOVEL INTELLIGENT NETWORK,” INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY (IJEST), vol. 1, no. 4, pp. 257–264, 2005, [Online]. Available: https://sid.ir/paper/284851/en

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