Shaly Sand Analysis using Density-Neutron Porosities from a Cased-hole Pulsed Neutron System

Abstract

This paper was prepared for presentation at the 1999 SPE Rocky Mountain Regional Meeting held in Gillette, Wyoming, 15–18 May 1999.

Optimal output gain algorithm for feed-forward network training

“…With proper training, the MLP approximates the Bayes classifier [4] or the minimum mean square error (mmse) estimator [5]. The MLP has found use in many applications including character recognition [6] [7], power load forecasting [8], prognostics [9], well logging [10], and data mining [11].…”