By Hava T. Siegelmann
The theoretical foundations of Neural Networks and Analog Computation conceptualize neural networks as a selected form of desktop together with a number of assemblies of uncomplicated processors interconnected in an complex constitution. interpreting those networks less than a variety of source constraints unearths a continuum of computational units, a number of of which coincide with famous classical types. On a mathematical point, the therapy of neural computations enriches the idea of computation but additionally explicated the computational complexity linked to organic networks, adaptive engineering instruments, and similar versions from the fields of keep an eye on conception and nonlinear dynamics. the fabric during this e-book might be of curiosity to researchers in quite a few engineering and technologies disciplines. furthermore, the paintings may supply the bottom of a graduate-level seminar in neural networks for computing device technology students.
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Extra resources for Neural Networks and Analog Computation: Beyond the Turing Limit (Progress in Theoretical Computer Science)
Neural Networks and Analog Computation: Beyond the Turing Limit (Progress in Theoretical Computer Science) by Hava T. Siegelmann