Neuro-fuzzy methods for environmental modelling

Zhou, Qing Qing; Kasabov, Nikola; Benwell, George L; Purvis, Martin; Zhang, Feng

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Neuro-fuzzy methods for environmental modelling

Purvis, Martin; Kasabov, Nikola; Benwell, George L; Zhou, Qing Qing; Zhang, Feng

Cite this item: Purvis, M., Kasabov, N., Benwell, G. L., Zhou, Q. Q., & Zhang, F. (1998). Neuro-fuzzy methods for environmental modelling (Information Science Discussion Papers Series No. 98/10). University of Otago. Retrieved from http://hdl.handle.net/10523/1113

Permanent link to OUR Archive version: http://hdl.handle.net/10523/1113

Date: 1998-12

Publisher: University of Otago

Pages: 18

Series: Information Science Discussion Papers Series

Series number: 98/10

Research Type: Discussion Paper

Abstract:

This paper describes combined approaches of data preparation, neural network analysis, and fuzzy inferencing techniques (which we collectively call neuro-fuzzy engineering) to the problem of environmental modelling. The overall neuro-fuzzy architecture is presented, and specific issues associated with environmental modelling are discussed. A case study that shows how these techniques can be combined is presented for illustration. We also describe our current software implementation that incorporates neuro-fuzzy analytical tools into commercially available geographical information system software.

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