DocumentCode :
3274618
Title :
A formulation for 2-D array neural nets for electro-optical implementation
Author :
A. Salam, Fathi ; Wang, Yannan
Author_Institution :
Dept. of Electr. Eng., Michigan State Univ., East Lansing, MI, USA
fYear :
1989
fDate :
0-0 1989
Abstract :
Summary form only given, as follows. A formulation is described for 2-D neural nets which is suitable for the processing of 2-D array images. The formulation essentially processes a 2-D input array to be pre- and postmultiplied by a matrix of weights. Then the resulting 2-D array of data is processed via the usual sigmoidal thresholding and feedback which are characteristic of neural nets. A description is also given of two electrooptical implementations of the formulation: (i) it includes adaptations of the available incoherent optical techniques for the real-time multiplication of three matrices, and (ii) it includes adaptations of vector-matrix multiplication and the sum of the outer product of vectors. The second requires reduced optical hardware for its implementation.<>
Keywords :
electro-optical devices; neural nets; picture processing; 2-D array images; 2-D array neural nets; electrooptical implementations; feedback; matrix; real-time multiplication; sigmoidal thresholding; vector-matrix multiplication; weights; Electrooptic devices; Image processing; Neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1989. IJCNN., International Joint Conference on
Conference_Location :
Washington, DC, USA
Type :
conf
DOI :
10.1109/IJCNN.1989.118546
Filename :
118546
Link To Document :
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