Purpose – Quantitative methods known as scoring models have been traditionally developed for credit granting decisions using statistical procedures. The purpose of this paper is to develop a non-parametric credit scoring model for micro enterprises that are not maintaining balance sheets, and...

This paper introduces support vector machines (SVM), the latest neural network algorithm, to wind speed prediction and compares their performance with the multilayer perceptron (MLP) neural networks. Mean daily wind speed data from Madina city, Saudi Arabia, is used for building and testing both...

In this work, a neural network-based solution to BSIM3v3 MOSFET model is developed to find the most suitable channel parameters to improve the production yield and operation accuracy of submicron integrated circuits. By means of the proposed solution the channel parameters of each transistor can...