By Leslaw Golębiowski, Damian Mazur

ISBN-10: 3319112473

ISBN-13: 9783319112473

ISBN-10: 3319112481

ISBN-13: 9783319112480

This ebook offers the chosen result of the XI clinical convention chosen problems with electric Engineering and Electronics (WZEE) which was once held in Rzeszów and Czarna, Poland on September 27-30, 2013. the most goal of the convention used to be to supply academia and to debate and current the newest technological merits and learn effects and to combine the recent interdisciplinary medical circle within the box of electric engineering, electronics and mechatronics. The convention used to be prepared through the Rzeszów department of Polish organization of Theoretical and utilized electric Engineering (PTETiS) in cooperation with Rzeszów collage of expertise, the college of electric and machine Engineering and Rzeszów collage, the college of arithmetic and usual Sciences.

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In order to additional and independent assessment of model quality an additional performance index, called relative percentage error (called RPE) was deﬁned for r-th local model: RPE ðrÞ PK ðrÞ y ðkÞ À yðrÞ ðkÞ k¼1 Á 100 % ¼ PK ðrÞ y ðkÞ ð15Þ k¼1 ð1Þ ð2Þ The performance indices Qd ) and Qd , the global performance index QG and the synthetic quality criterion Qs after 500 epochs of learning for DGLM-RPROP algorithm for the training data for the series-parallel model and for the parallel model are shown in Table 1, for factor a0 ¼ 1.

See Fig. 1). MR. A structure of global model corresponds to the structure of the complex system. In that model a previous simple model output is an input to the next simple model. However, a global model with regard to local models also includes local models. Thus, each simple object of the complex system has a suitable local model. The output of the simple object Pr is the input to the next local model Mr+1. For such models special back propagation leaning algorithms should be developed. As a model a feedforward multilayer neural network with TDL is used.

In the parallel model, is also difﬁcult to point clearly the influence of factor a0 on the quality criterion QG . For the most values of a1 the criterion QG reaches the lowest values for factor a0 ¼ 0:5 (see Fig. 7). Study the Quality of Global Neural Model … 51 Fig. 5 Performance index Q(1) d for the training data in the series-parallel model (the left chart) and the parallel model (the right chart) Fig. 6 Performance index Q(2) d for the training data in the series-parallel model (the left chart) and in the parallel model (the right chart) Fig.

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