|
|||||
|
|
Parallel optical fuzzy logic inference using a SLM-based architecture |
|
| Authors: | Shuqun Zhang Mohammad A Karim |
| Institution: | a Department of Computer Science, College of Staten Island, City University of New York, 2800 Victory Blvd., NY 10314, USA;b Department of Electrical and Computer Engineering, The University of Tennessee, 414 Ferris Hall, Knoxville, TN 37996-2100, USA |
| Abstract: | A new optoelectronic fuzzy inference system is proposed for processing a large number of fuzzy rules in parallel. The proposed system using spatial light modulator implements various membership functions as well as max–min inference. It has the features of easy implementation and large data processing capability. The membership function decomposition method is used to save space bandwidth and accommodate multiple-input fuzzy inference. |
| Keywords: | Fuzzy logic inference Optical fuzzy system Fuzzy associative memory |
| 本文献已被 ScienceDirect 等数据库收录！ | |