Neuro-fuzzy methods for environmental modelling
Purvis, Martin; Kasabov, Nikola; Benwell, George L; Zhou, Qing Qing; Zhang, Feng

View/ Open
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
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.
Date:
1998-12
Publisher:
University of Otago
Pages:
18
Series number:
98/10
Research Type:
Discussion Paper
Collections
- Knowledge Engineering Laboratory [25]
- Information Science [486]
- Discussion Paper [441]