Titlebook: Engineering Applications of Neural Networks; 13th International C Chrisina Jayne,Shigang Yue,Lazaros Iliadis Conference proceedings 2012 Sp

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Teaching Science in Out-of-School Settings system, and by using the error prediction as a feature for the diagnosis. A locally recurrent neural network is used as predictor, after it has been trained on a reference behavior of the system. In order to model the system under test a novel training algorithm that uses an explicit calculation of

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https://doi.org/10.1007/978-3-319-53594-4 proposes the use of Autoassociative Neural Networks trained with a Modified Robust Method in an online monitoring system for fault detection and self-correction of measurements generated by a large number of sensors. Unlike the existing models, the proposed system aims at using only one neural netw

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Leung Che Miriam Lau,Wing Bo Anna Tsos electricity demand. As an alternative to the traditional correlation analysis, a new approach is proposed to provide a detailed and visual analysis of the correlations between consumption and environmental variables. Since consumption profiles are normally characterized by many electrical variable

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細(xì)胞學(xué)

,Comedies are Proverbial: Eric Rohmer’s ,llery ammunition) in armed forces’ inventories. The critical process about the production of product is the welding process. In this process, a rotating band is welded to the body of ammunition. This is a multi-input, multi-output process. In order to tackle problems in the welding process 2 differe

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Communications in Computer and Information Sciencehttp://image.papertrans.cn/e/image/310716.jpg

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https://doi.org/10.1007/978-3-642-32909-8artificial neural networks; data mining; fuzzy logic and systems; machine learning; time series forecast