Journal ArticleDOI
A Hybrid Neural Network for Image Classification
TLDR
A novel neural network which could resolve the constraints of the finite response time and hologram erasure on the convergence property of the photorefractive perceptron learning are discussed and experimental results of image classification are presented.About:
This article is published in Optics and Lasers in Engineering.The article was published on 1995-01-01. It has received 3 citations till now. The article focuses on the topics: Perceptron & Optical neural network.read more
Citations
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Journal ArticleDOI
Classification of defects in steel strip surface based on multiclass support vector machine
TL;DR: Experimental results show that support vector machine model outperforms the traditional classification model based on back-propagation neural network in average classification accuracy.
光學神經網路應用在位移不變性之圖像識別 ; An Optical Neural Network for Shift-Invariant Pattern Recognition
許根玉,Hsu Ken-Yuh +1 more
Proceedings ArticleDOI
Real-time image processing using photorefractive crystals
TL;DR: The combination of neural network training and volume holographic storage technologies using photorefractive crystals for real-time image processing and experimental results on using the system for multi-channel distortion-invariant image recognition are presented.
References
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Journal ArticleDOI
Neural networks and physical systems with emergent collective computational abilities
TL;DR: A model of a system having a large number of simple equivalent components, based on aspects of neurobiology but readily adapted to integrated circuits, produces a content-addressable memory which correctly yields an entire memory from any subpart of sufficient size.
Journal ArticleDOI
Neurons with graded response have collective computational properties like those of two-state neurons.
TL;DR: A model for a large network of "neurons" with a graded response (or sigmoid input-output relation) is studied and collective properties in very close correspondence with the earlier stochastic model based on McCulloch - Pitts neurons are studied.
Book
Neurons with graded response have collective computational properties like those of two-state neurons
TL;DR: In this article, a model for a large network of "neurons" with a graded response (or sigmoid input-output relation) is studied, which has collective properties in very close correspondence with the earlier stochastic model based on McCulloch--Pitts neurons.
Book ChapterDOI
Neural networks and physical systems with emergent collective computational abilities
TL;DR: A model of a system having a large number of simple equivalent components, based on aspects of neurobiology but readily adapted to integrated circuits, produces a content-addressable memory which correctly yields an entire memory from any subpart of sufficient size.