Titlebook: Complex Systems: Solutions and Challenges in Economics, Management and Engineering; Dedicated to Profess Christian Berger-Vachon,Anna María

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Mathematical Model and Parametrical Identification of Ecopyrogenesis Plant Based on Soft Computing Tx multi-coordinate control object on the basis of soft computing techniques. The synthesis procedure of the main parts of the EPG plant’s mathematical model, including its fuzzy parametrical identification system, adaptive-network-based fuzzy inference system for calculating of multiloop circulatory

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Detecting Changes in Time Sequences with the Competitive Detectorchanges. In the detector two approximators are used working one at the ‘past’ and one at the ‘future’ side of the considered data point. The difference of their outputs makes it possible to find the change of the value and the derivative of the signal. The new features introduced consist in performi

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Deep Learning Architecture for High-Level Feature Generation Using Stacked Auto Encoder for Businesse amount of data by conventional machine learning algorithms is difficult because of heterogeneous nature and large size of data. Deep learning strategy, is an advancement in machine learning research to deal with such heterogeneous nature and large size of data and extract high-level representation

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Complex Systems: Solutions and Challenges in Economics, Management and Engineering978-3-319-69989-9Series ISSN 2198-4182 Series E-ISSN 2198-4190

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