By Demetrios Michalopoulos, Chih-Kang Hu (auth.), Tim Hendtlass, Moonis Ali (eds.)

Arti?cial Intelligence is a ?eld with a protracted background, that is nonetheless a great deal lively and constructing at the present time. advancements of recent and more suitable ideas, including the ever-increasing degrees of obtainable computing assets, are fueling an expanding unfold of AI purposes. those purposes, in addition to offering the industrial motive for the study, additionally give you the impetus to additional increase the functionality of our strategies. This extra development this present day is probably to come back from an figuring out of the methods our platforms paintings, and consequently in their obstacles, instead of from rules ‘borrowed’ from biology. From this realizing comes development; from development comes additional program; from additional software comes the chance to additional comprehend the restrictions, and so the cycle repeats itself inde?nitely. during this quantity are papers on quite a lot of subject matters; a few describe appli- tions which are purely attainable because of fresh advancements, others describe new advancements in simple terms simply being moved into useful program. the entire - pers re?ect the best way this ?eld maintains to force ahead. This convention is the fifteenth in an unbroken sequence of annual meetings on business and Engineering software of Arti?cial Intelligence and professional platforms prepared less than the auspices of the foreign Society of utilized Intelligence.

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Extra info for Developments in Applied Artificial Intelligence: 15th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems IEA/AIE 2002 Cairns, Australia, June 17–20, 2002 Proceedings

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The DX code reader scans the DX code (Fig. 2), which is located on the top edge of the film, and identifies the type and make of the film. Because the DX code is only located on one edge of the film, the film has to be correctly orientated when being fed into the scanner so that the DX code reader can read it. DX Code Reader 111 000 000 111 000 111 000 111 000 111 000 111 000 111 000 111 000 111 000 111 111 000 Bar Code Reader 1111111 0000000 1 0 0000000 1111111 0 1111111 0000000 1 0 1 1111111 0000000 0 1 0000 1111 1111 0000 0000 1111 1111 0000 0000 1111 0000 1111 0000 1111 0000 1111 0000 1111 0000 1111 0000 1111 0000 1111 0000 1111 0000 1111 0000 1111 Digital Image Scanner Film Spool Film Spool Fig.

For that reason, the Chong and Hendry encompassing test [13, 14] was used to evaluate the statistical significance of the competing forecasting models. According to the authors, a model (1) encompasses another model (2) if model 1’s forecast significantly explain model 2’s forecasting errors. Thus, mode l has more relevant information than model 2. 2) where (rt-r1t) and (rt-r2t) are the forecasting errors from model 1 and 2, respectively; r1t and r2t are the forecasts of the two models; and u1t and u2t are random errors.

From eqn. 1, it is apparent that a hidden node with large relevance plays a very important role in learning, since removing that node results in a significant increase in the MSE. This idea has been successfully applied in several classification problems related to network pruning [8]. For selective attention learning, we propose to measure the relevance of each hidden node separately according to the class. Let Ω k be a set of training patterns Computational Cost Reduction by Selective Attention 19 belonging to the kth class, ω k .

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Developments in Applied Artificial Intelligence: 15th by Demetrios Michalopoulos, Chih-Kang Hu (auth.), Tim
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