The three-dimensional rotation neural network

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	The three-dimensional rotation neural network
	Shuai, J. W. ; Zheng, J. C. ; Chen, Z. X. ; Liu, R. T. ; Wu, B. X. ; Shuai JW(帅建伟)
刊名	http://dx.doi.org/10.1016/S0378-4371(96)00465-7
	1997-04-15
关键词	ASSOCIATIVE MEMORY HOPFIELD MODEL PATTERNS NUMBER RECOGNITION CAPACITY DYNAMICS NEURONS
英文摘要	The storage capacity of the three-dimensional rotation neural network model is;discussed by using the signal-to-noise theory. Some results discussed in the Hopfield model, the complex phasor model and the Hamilton neural network are obtained. Compared to other multistate neural networks, a novel property of the model is that the storage capacity for a tired neuronal state varies with the different combinations of numbers of rotation angles and axes. The maximum storage capacity can be obtained for a special combination of numbers of rotation angles and axes.
语种	英语
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/69048]
专题	物理技术－已发表论文
推荐引用方式 GB/T 7714	Shuai, J. W.,Zheng, J. C.,Chen, Z. X.,et al. The three-dimensional rotation neural network[J]. http://dx.doi.org/10.1016/S0378-4371(96)00465-7,1997.
APA	Shuai, J. W.,Zheng, J. C.,Chen, Z. X.,Liu, R. T.,Wu, B. X.,&帅建伟.(1997).The three-dimensional rotation neural network.http://dx.doi.org/10.1016/S0378-4371(96)00465-7.
MLA	Shuai, J. W.,et al."The three-dimensional rotation neural network".http://dx.doi.org/10.1016/S0378-4371(96)00465-7 (1997).