By Hava T. Siegelmann
The theoretical foundations of Neural Networks and Analog Computation conceptualize neural networks as a selected kind of desktop including a number of assemblies of easy processors interconnected in an complicated constitution. studying those networks lower than numerous 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 in addition explicated the computational complexity linked to organic networks, adaptive engineering instruments, and similar types from the fields of keep an eye on idea and nonlinear dynamics. the cloth during this ebook could be of curiosity to researchers in a number of engineering and technologies disciplines. additionally, the paintings may supply the bottom of a graduate-level seminar in neural networks for machine technology students.
Read or Download Neural Networks and Analog Computation: Beyond the Turing Limit (Progress in Theoretical Computer Science) PDF
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Neural Networks and Analog Computation: Beyond the Turing Limit (Progress in Theoretical Computer Science) by Hava T. Siegelmann
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