Cite this item in APA:
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
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.
