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Representation of Intermolecular Potential Functions by Neural Networks

✍ Scribed by Gassner, Helmut; Probst, Michael; Lauenstein, Albert; Hermansson, Kersti

Book ID
126445550
Publisher
American Chemical Society
Year
1998
Tongue
English
Weight
138 KB
Volume
102
Category
Article
ISSN
1089-5639

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πŸ“œ SIMILAR VOLUMES

A simplified representation of intermole
A simplified representation of intermolecular potential energy
✍ G.C. Maitland; E.B. Smith πŸ“‚ Article πŸ“… 1973 πŸ› Elsevier Science 🌐 English βš– 371 KB

A nex simple function which is capable of representing the intermolecular pair potential energy of tic kert gases is proposed. It is based on the traditional n-6 rcciprocaf power poten..iaI with the modification that n is regarded iis a function of separation rather than as a constant.

Representations and rates of approximati
Representations and rates of approximation of real-valued Boolean functions by neural networks
✍ V. KΕ―rkovΓ‘; P. SavickΓ½; K. HlavÑčkovΓ‘ πŸ“‚ Article πŸ“… 1998 πŸ› Elsevier Science 🌐 English βš– 138 KB

We give upper bounds on rates of approximation of real-valued functions of d Boolean variables by one-hidden-layer perceptron networks. Our bounds are of the form c/ n p where c depends on certain norms of the function being approximated and n is the number of hidden units. We describe sets of funct