We propose a general framework for structure identification, as defined by Dechter and Pearl. It is based on the notion of prime implicate, and handles Horn, bijunctive and affine, as well as Horn-renamable formulas, for which, to our knowledge, no polynomial algorithm has been proposed before. This
A unified framework for multilayer high order CNN
β Scribed by Majorana, Salvatore; Chua, Leon O.
- Publisher
- John Wiley and Sons
- Year
- 1998
- Tongue
- English
- Weight
- 420 KB
- Volume
- 26
- Category
- Article
- ISSN
- 0098-9886
No coin nor oath required. For personal study only.
β¦ Synopsis
We propose a unified notation for representing any CNN topology. The framework presented here is an attempt to provide a common base for the future development of more general CNN structures, such as multilayer and/or high-order CNNs, which have already been of great interest in many disciplines including biology, chemistry, ecology, physics, etc.
The paper is divided in two parts: first (Sections 1-3) it is shown how to cast any CNN structure into a so called 'compact form', from which we can derive a vector of ordinary differential equations (ODE) which can be used for mathematical analysis and for computer simulation of the CNN; in the second part (Section 4) some examples show how multilayer structures are required to solve hard learning problems such as the parity problem.
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