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A neuron network is a computational model based on structure and functions of biological neural networks.Information that flows through the network affects the structure of the neuron network because neural network changesor learns,in a sense-based on that input and output.Although neural network being highly complex (for example change of weights for every new data within the time frame) an experimental model of high level architecture of neural processor is proposed.Neural Processor performs all the functions that an ordinary neural network does like adaptive learning,self-organization,real time operations and fault tolerance.In this paper,analysis of neural processing is discussed and presented with experiments,graphical representation including data analysis.
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篇名 Neural processor in artificial intelligence advancement
来源期刊 自主智能(英文) 学科 工学
关键词 NEURON NEURON PROCESSOR NEURON NETWORK artificial INTELLIGENCE
年,卷(期) 2018,(1) 所属期刊栏目
研究方向 页码范围 2-14
页数 13页 分类号 TP
字数 语种
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研究主题发展历程
节点文献
NEURON
NEURON
PROCESSOR
NEURON
NETWORK
artificial
INTELLIGENCE
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研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
自主智能(英文)
季刊
2630-5046
12 Eu Tong Sen Stree
出版文献量(篇)
26
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0
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0
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