A connectionist computational architecture based on an optical thin-film model
Purvis, Martin; Li, Xiaodong

View/ Open
Cite this item:
Purvis, M., & Li, X. (1996). A connectionist computational architecture based on an optical thin-film model (Information Science Discussion Papers Series No. 96/14). University of Otago. Retrieved from http://hdl.handle.net/10523/852
Permanent link to OUR Archive version:
http://hdl.handle.net/10523/852
Abstract:
A novel connectionist architecture that differs from conventional architectures based on the neuroanatomy of biological organisms is described. The proposed scheme is based on the model of multilayered optical thin-films, with the thicknesses of the individual thin-film layers serving as adjustable ‘weights’ for the training. A discussion of training techniques for this model and some sample simulation calculations in the area of pattern recognition are presented. These results are shown to compare with results when the same training data are used in connection with a feed-forward neural network with back propagation training. A physical realization of this architecture could largely take advantage of existing optical thin-film deposition technology.
Date:
1996-08
Publisher:
University of Otago
Pages:
30
Series number:
96/14
Research Type:
Discussion Paper
Notes:
Please note that this is a searchable PDF derived via optical character recognition (OCR) from the original source document. As the OCR process is never 100% perfect, there may be some discrepancies between the document image and the underlying text.
Collections
- Information Science [486]
- Discussion Paper [441]