Authors

Jason V. Ileto

Document Type

Article

Publication Date

2003

Abstract

A table of globally-predicted data of internuclear separation is presented, the first of a series on molecular properties. This paper explores a novel frequency compensation of neural network inputs and a new measure of the asymmetry in the globally-predicted data.

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Physics Commons

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