By Bojan Dolšak (auth.), Ann Macintosh BSc, CEng, Mike Moulton BSc, Alun Preece BSc, PhD (eds.)

Ann Macintosh Napier college, united kingdom The papers during this quantity are the refereed program papers provided at ES2001, the Twenty-fIrst SGES foreign convention on wisdom dependent structures and utilized synthetic Intelligence, held in Cambridge in December 2 hundred I. The scope of the applying papers has accelerated over fresh years to hide not only leading edge functions utilizing conventional wisdom established structures, but additionally to incorporate functions demonstrating the entire diversity of AI applied sciences. those papers proceed to demonstrate the adulthood of AI as a commercially achievable expertise to unravel genuine international difficulties. The papers have been topic to refereeing through a minimum of specialist referees. All papers that have been in anyway debatable have been mentioned extensive by means of the appliance Programme Committee. For the ES2001 program movement, a paper is appropriate whether it describes a process that has no longer but been put in, supplied the applying is unique and the paper discusses the type of issues that will aid others desiring to resolve the same challenge. Papers were chosen to spotlight serious components of good fortune - and failure - and to provide the advantages and classes learnt to different builders. This quantity comprises 16 papers describing deployed or rising functions in quite a number various parts: enterprise and trade, engineering, production, wisdom and knowledge administration, and music.

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Extra info for Applications and Innovations in Intelligent Systems IX: Proceedings of ES2001, the Twenty-first SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence, Cambridge, December 2001

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PC AI 1991; 5:3:20-24 [26] Azoff E M. Neural Network Time Series Forecasting of Financial Markets. John Wiley and Sons, Chichester, 1994. [27] Makridakis S, Wheelwright S C, McGee V E. Forecasting: Methods and Applications, 2 nd ed. John Wiley, New York, 1983. [28] Weigend A S, Huberman B A, Rumelhart D E. Predicting sunspots and exchange rates with connectionist networks. In: Casdagli M, Eubank S (ed), Nonlinear Modeling and Forecasting. Addison-Wesley, Redwood City, CA, 1992, pp 395-432 [29] Foster W R, Collopy F, Ungar L H.

9 Future Work Given these promising, initial, experiences with the Gamma test, it is the authors intention to explore whether related documented measures [4], based upon the Gamma test, show equal promise. In addition, work will be extended to include modular networks that map trends within related economic measures such as the Retail Price Index, unemployment rate and interest rate to the Housing Price Index. Ultimately, it is the authors' intention to produce long-term (five-year) forecasts for regional, sub-regional and local property markets.

In this paper, the training set was used to construct the ANN's underlying model of the time series and the test set was used to measure the accuracy of this model. A third set, called the validation set, was used to determine when the training process should be stopped (the validated training procedure). [28] As was mentioned earlier, this paper presents two approaches to timing when the training procedure should be stopped. Input-Output Vector l .... j I Time Figure 1 Moving Window First, the normalised data set was converted into input/output vectors, using an overlapping moving window (shown in Figure 1).

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