Chen F.Y,Chen G.,He G.L,Xu X.B."Realization of Boolean Functions and Gene Bank of Cellular NeuralNetworks". Proceedings of 9th IEEE International Workshop on Cellular Neural Networks and theirApplications . 2005
Boolean functionsMOS integrated circuitsSPICElogic designneural chipspulse-code modulationBoolean functionsMOS circuitSPICE simulationexclusive ORIt is proven here that all of the sixteen Boolean functions of two variables can be realized by a pulse coded neuron, thus guaranteeing that present day digital...
来源期刊 Avtomatika i Telemekhanika 1968/01/01 研究点推荐 Boolean functions modulo 2s 站内活动 0关于我们 百度学术集成海量学术资源,融合人工智能、深度学习、大数据分析等技术,为科研工作者提供全面快捷的学术服务。在这里我们保持学习的态度,不忘初心,砥砺前行。了解更多>> 友情链接 联系我们 ...
Then the structure of a Boolean control network is analyzed, and the controllable and observable normal forms and the Kalman decomposition form are presented. Finally the realization problem, including minimum realization, of Boolean control networks is investigated....
BNs were first introduced by Kauffman in 1969 [1], wherein each gene is characterized by a Boolean variable (active/inactive:1/0), and the evolution of each node is determined by logical functions composed of logical operators. Genetic regulatory networks are sus- ceptible to the external ...
In recent years, quantum image processing is one of the most active fields in quantum computation and quantum information. Image scaling as a kind of image geometric transformation has been widely studied and applied in the classical image processing, ho
Data Types Booleana|double|fixed point|integer|single Direct Feedthrough no Multidimensional Signals no Variable-Size Signals no Zero-Crossing Detection no aThis block is not recommended for use with Boolean signals. Extended Capabilities expand all ...
In this part, on-chip optical Boolean logic operations (AND, OR, and NOT) are first numerically demonstrated at the wavelength of 1.55 µm and thereafter the achieved results are verified using 2D FDTD and 2.5D FDTD variational solver of Lumerical Mode Solution. The meta-system consists of ...
The digital base circuit generates the set of Boolean functions which replaces a neuron for any value of its input weighting factors. A process for training this circuit is also described. This makes it possible to realize and train ADALINE-type neural networks entirely by means of purely ...
Here, multiple minterms[1]corresponding to the logic function serve as the reference image while the input minterm is loaded as the input image of the JFT correlator. The output correlation peaks when thresholded determine the logical value (1 or 0) of the Boolean function. The available space...