Cite this item:
Li, X., & Purvis, M. (1996). Using genetic algorithms for an optical thin-film learning model (Information Science Discussion Papers Series No. 96/20). University of Otago. Retrieved from http://hdl.handle.net/10523/1095
Abstract:
A novel connectionist architecture based on an optical thin-film multilayer model (OTFM) is described. The architecture is explored as an alternative to the widely used neuron-inspired models, with the thin-film thicknesses serving as adjustable ‘weights’ for the computation. The use of genetic algorithms for training the thin-film model, along with experimental results on the parity problem and the iris data classification are presented.
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