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Can I read Neural Networks and Analog Computation: Beyond the Turing Limit (Progress in Theoretical Computer Science) on EtoBox?
Neural Networks and Analog Computation: Beyond the Turing Limit (Progress in Theoretical Computer Science) by Hava T. Siegelmann (auth.) is a nonfiction available to read on EtoBox.
What is Neural Networks and Analog Computation: Beyond the Turing Limit (Progress in Theoretical Computer Science) about?
The theoretical foundations of Neural Networks and Analog Computation conceptualize neural networks as a particular type of computer consisting of multiple assemblies of basic processors interconnected in an intricate structure. Examining these networks under various resource constraints reveals a continuum of computational devices, several of which coincide with well-known classical models. What emerges is a Church-Turing-like thesis, applied to the field of analog computation, which features the neural network model in place of the digital Turing machine. This new concept can serve as a point of departure for the development of alternative, supra-Turing, computational theories. On a mathematical level, the treatment of neural computations enriches the theory of computation but also explicated the computational complexity associated with biological networks, adaptive engineering tools, and related models from the fields of control theory and nonlinear dynamics. The topics covered in this work will appeal to a wide readership from a variety of disciplines. Special care has been taken to explain the theory clearly and concisely. The first chapter review s the fundamental terms of mo
Who reads Neural Networks and Analog Computation: Beyond the Turing Limit (Progress in Theoretical Computer Science)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Hava T. Siegelmann (auth.)
- Publisher
- Birkhäuser Boston; Imprint: Birkhäuser
- Published
- 1999
- Language
- EN
- ISBN
- 9781461268758
- Category
- nonfiction
- Subjects
- Science, Mathematics, Engineering
- Updated
- 2026-03-24
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