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Factors systematically associated with errors in subjective estimates of software development effort: The stability of expert judgment
Software metric-based estimation of project development effort is most often performed by expert judgment rather than by using an empirically derived model (although such may be used by the expert to assist their decision). ...
Dynamic evolving fuzzy neural networks with `m-out-of-n' activation nodes for on-line adaptive systems
The paper introduces a new type of evolving fuzzy neural networks (EFuNNs), denoted as mEFuNNs, for on-line learning and their applications for dynamic time series analysis and prediction. mEFuNNs evolve through incremental, ...
Fuzzy logic for software metric models throughout the development life-cycle
One problem faced by managers who are using project management models is the elicitation of numerical inputs. Obtaining these with any degree of confidence early in a project is not always feasible. Related to this difficulty ...
Modifications to Smith’s method for deriving normalised relations from a functional dependency diagram
Smith’s method is a formal technique for deriving a set of normalised relations from a functional dependency diagram (FDD). Smith’s original rules for deriving these relations are incomplete, as they do not fully address ...
Infiltrating IT into primary care: A case study
Web based approaches to tracking students on placement are receiving much interest in the field of medical education The work presented here describes a web-based solution to the problem of managing data collection from ...
Adaptive, evolving, hybrid connectionist systems for image pattern recognition
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 ...
Wayfinding/navigation within a QTVR virtual environment: preliminary results
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 ...
Spatial-temporal adaptation in evolving fuzzy neural networks for on-line adaptive phoneme recognition
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 ...
The NZDIS project: An agent-based distributed information systems architecture
This paper describes an architecture for building distributed information systems from existing information resources, based on distributed object and software agent technologies. This architecture is being developed as ...
Evolving connectionist systems for on-line, knowledge-based learning: Principles and applications
The paper introduces evolving connectionist systems (ECOS) as an effective approach to building on-line, adaptive intelligent systems. ECOS evolve through incremental, hybrid (supervised/unsupervised), on-line learning. ...