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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. ...
GIS maturity and integration
This paper discusses the concept of maturity in the use of GIS and then formulates a computational method for measuring an organisations maturity level from the construction of a surrogate indicator. Generation of this ...
Software forensics for discriminating between program authors using case-based reasoning, feed-forward neural networks and multiple discriminant analysis
Software forensics is a research field that, by treating pieces of program source code as linguistically and stylistically analyzable entities, attempts to investigate aspects of computer program authorship. This can be ...
A taxonomy of spatial data integrity constraints
Spatial data quality has become an issue of increasing concern to researchers and practitioners in the field of Spatial Information Systems (SIS). Clearly the results of any spatial analysis are only as good as the data ...
User defined spatial business rules: storage, management and implementation — a pipe network case study
The application of business rules as a means of ensuring data quality is an accepted approach in information systems development. Rules, defined by the user, are stored and manipulated by a repository or data dictionary. ...
FuNN/2—a fuzzy neural network architecture for adaptive learning and knowledge acquisition
Fuzzy neural networks have several features that make them well suited to a wide range of knowledge engineering applications. These strengths include fast and accurate learning, good generalisation capabilities, excellent ...
A fuzzy neural network model for the estimation of the feeding rate to an anaerobic waste water treatment process
Biological processes are among the most challenging to predict and control. It has been recognised that the development of an intelligent system for the recognition, prediction and control of process states in a complex, ...
Assessing prediction systems
For some years software engineers have been attempting to develop useful prediction systems to estimate such attributes as the effort to develop a piece of software and the likely number of defects. Typically, prediction ...