The chapter presents a new methodology for building adaptive, incremental learning systems for image pattern classification. The systems are based on dynamically evolving fuzzy neural networks that are neural architectures ...

The use of intelligent software agents is a modelling paradigm that is gaining increasing attention in the applications of distributed systems. This paper identifies essential characteristics of agents and shows how they ...

In this paper, we describe the implementation of a database design environment (Swift) that incorporates several novel features: Swift’s data modelling approach is derived from viewpoint-oriented methods; Swift is implemented ...

In today’s world most businesses, large and small, depend on their computer(s) to provide vital functions consistently and without interruption. In many organizations the loss of the computer function could mean the ...

This paper first describes the difficulties inherent in supporting a class of environmental problems, those involved in Regional Environmental Decision Making. A set of conceptual criteria are presented along with discussion ...

This paper reports on an investigation into wayfinding principles, and their effectiveness within a virtual environment. To investigate these principles, a virtual environment of an actual museum was created using QuickTime ...

The use of ‘standard’ regression analysis to derive predictive equations for software development has recently been complemented by increasing numbers of analyses using less common methods, such as neural networks, fuzzy ...

Advances in software process technology have rendered many existing methods of size assessment and effort estimation inapplicable. The use of automation in the software process, however, provides an opportunity for the ...

Cryptography is the art or science, depending on how you look at it, of keeping messages secure. It has been around for a couple of thousand years in various forms. The Spartan Lysander and even Caesar made use of cryptography ...

The paper is a study on a new class of spatial-temporal evolving fuzzy neural network systems (EFuNNs) for on-line adaptive learning, and their applications for adaptive phoneme recognition. The systems evolve through ...