CLASSIFYING IMAGES USING GOAL-SEEKING NEURAL-NETWORK ARCHITECTURES

被引：1
|
作者：
DECARVALHO, A
FAIRHURST, MC
BISSET, DL
机构：
[1] Univ of Kent, Kent
来源：
IEE PROCEEDINGS-I COMMUNICATIONS SPEECH AND VISION | 1993年 / 140卷 / 01期
关键词：
NEURAL NETWORKS; IMAGE CLASSIFICATION;
D O I：
10.1049/ip-i-2.1993.0004
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
New results, which have been achieved by using neural network architectures for two-dimensional image classification based on the goal-seeking neuron (GSN), are presented. A number of important practical issues concerning mapping topologies and the parallel implementation of GSN-based architectures are also investigated, together with a proposal for the development of a related neurally based feature extractor to be used as a front-end processor in a fully integrated Boolean network architecture.
引用
收藏
页码：12 / 18
页数：7
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