Analysis and synthesis of a class of discrete-time neural networks with multilevel threshold neurons.

Analysis and synthesis of a class of discrete-time neural networks with multilevel threshold neurons. Research Abstract Details 

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Analysis and synthesis of a class of discrete-time neural networks with multilevel threshold neurons. Abstract Text:

J Si,A N Michel,

In contrast to the usual types of neural networks which utilize two states for each neuron, a class of synchronous discrete-time neural networks with multilevel threshold neurons is developed. A qualitative analysis and a synthesis procedure for the class of neural networks considered constitute the principal contributions of this paper. The applicability of the present class of neural networks is demonstrated by means of a gray level image processing example, where each neuron can assume one of sixteen values. When compared to the usual neural networks with two state neurons, networks which are endowed with multilevel neurons will, in general, for a given application, require fewer neurons and thus fewer interconnections. This is an important consideration in VLSI implementation.

Analysis and synthesis of a class of discrete-time neural networks with multilevel threshold neurons. Publishing Authors By Initials

J Si,AN Michel,

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Analysis and synthesis of a class of discrete-time neural networks with multilevel threshold neurons. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: IEEE transactions on neural networks / a publicati

VOLUME: 6

Page Numbers: 105-16

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ISSN: 1045-9227

DAY: 11

MONTH: 02

YEAR: 1995

Analysis and synthesis of a class of discrete-time neural networks with multilevel threshold neurons. Information

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LANGUAGE: eng

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Grant and Affiliation Information for Analysis and synthesis of a class of discrete-time neural networks with multilevel threshold neurons.

AFFILIATION: Dept. of Electr. Eng., Notre Dame Univ., IN.

Country: United States

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MEDLINETA: IEEE Trans Neural Netw

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