Showing papers on "Soft computing published in 1993"
Book•
01 Mar 1993TL;DR: The world of scientific computing linear algebra parallel and vector computing polynomial approximation continuous problems solved discretely direct solution of linear equations parallel direct methods relaxation-type iterative methods conjugate gradient-type methods.
Abstract: The world of scientific computing linear algebra parallel and vector computing polynomial approximation continuous problems solved discretely direct solution of linear equations parallel direct methods relaxation-type iterative methods conjugate gradient-type methods.
288 citations
TL;DR: A simple case in point is the problem of parking a car as discussed by the authors, where the final position of the car is not specified exactly, and if it were specified to within, say, a few millimeters and a fraction of a degree, it would take hours or days of maneuvering and precise measurements of distance and angular position.
68 citations
28 Jun 1993
TL;DR: The past three years have witnessed a significant increase in the rate of growth of MIQ (Machine Intelligence Quotient) of consumer products and industrial systems.
Abstract: The past three years have witnessed a significant increase in the rate of growth of MIQ (Machine Intelligence Quotient) of consumer products and industrial systems.
32 citations
24 May 1993
TL;DR: The goal of this paper is to show the potential of fuzzy sets and neural networks, often referred to as soft computing, for aiding in all aspects of manufacturing of advanced materials like ceramics.
Abstract: The potential of fuzzy sets and neural networks, often referred to as soft computing, for aiding in all aspects of manufacturing of advanced materials like ceramics is addressed. In design and manufacturing of advanced materials, it is desirable to find which of the many processing variables contribute most to the desired properties of the material. There is also interest in real time quality control of parameters that govern material properties during processing stages. The concepts of fuzzy sets and neural networks are briefly introduced and it is shown how they can be used in the design and manufacturing processes. These two computational methods are alternatives to other methods such as the Taguchi method. The two methods are demonstrated by using data collected at NASA Lewis Research Center. Future research directions are also discussed.
1 citations