This paper presents a neuro-fuzzy network where all its parameters can be tuned simultaneously using Genetic Algorithms. The approach combines the merits of fuzzy logic theory, neural networks and genetic algorithms. The proposed neuro-fuzzy network does not require a priori…

In this article we will introduce certain considerations that must be taken into account while implementing the change operations of the belief change theory. The abstract models of bellief change make no considerations in respecto to the internal structures of…

by Peter L. Grant., Thesis (S.M.M.O.T.)--Massachusetts Institute of Technology, Sloan School of Management, Management of Technology Program, 2000., Includes bibliographical references (p. 105-108).

This thesis explores a holistic design process through which architectural elements can engage the dynamic forces of natural phenomena and integrate the spatial and temporal experience of building form with its physical environment. The framework for this exploration is a…

by Ronit Bodner., Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, 1996., Includes bibliographical references (leaves 75-76).

by Neil William Van Dyke., Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2000., "February 2000.", Includes bibliographical references (p. 87-91).

This article explores the way in which text worlds are created in advertising discourse by analysing linguistic choices and features of context which are crucial in the determination of specific relations between sender(s) and target audience(s), in particular, deixis and…

Implicitly exploitable parallelism for Logic Programming has received ample attention. Defeasible Argutmentation is specially apt for this optimizing technique. Defeasible Logic Programming (DLP), which is based on a defeasible argumentation formalism, could take full advantage of this type of parallel…

This study investigates an approach of knowledge discovery and data mining in insufficient databases. An application of Computational Taxonomy analysis demonstrates that the approach is effective in such a data mining process. The approach is characterized by the use of…

This study investigates an approach of knowledge discovery and data mining in insufficient databases. An application of Computational Taxonomy analysis demonstrates that the approach is effective in such a data mining process. The approach is characterized by the use ot…