ARTIFICIAL NEURAL NETWORK PPT

Now a days the price forecasting plays a very essential role in a new electricity industry; it helps the independent generators to set up optimal bidding patterns and also for designing the physical bilateral contracts. In general, different market players need to know future electricity prices as t[r]

ADVANCED SERIES IN CIRCUITS AND SYSTEMS

EditorinCharge: WaiKai Chen (Univ. Illinois, Chicago, USA)
Associate Editor: Dieter A. Mlynski (Univ. Karlsruhe, Germany)

Published

Vol. 1: Interval Methods for Circuit Analysis
by L. V. Kolev

Vol. 2: Netw[r]

In this study, a feed-forward back-propagation Artificial Neural Network (ANN) is used to predict the stress relaxation and behavior of creep for bimaterial microcantilever beam for sensing device. Results obtained from ANSYS® 8.1 finite element (FE) simulations, which show good agreement with exper[r]

primary goal is outcome prediction and important interactions of complex nonlinearities exist in a data set like forbiomass gasification, because they can approximate arbitrarynonlinear functions. One of the characteristics of modelingbased on artificial neural networks is that it does[r]

Ứng dụng trí tuệ nhân tạo trong việc dự đoán lũ lụt ( English version)
The artificial neural network (ANN) has been applied in many hydrological models in recent years and pays attention thanks to the performance of the model. This report focuses on using the application of the ANN based on artific[r]

Email address: n.kourentzes@lancaster.ac.uk (Nikolaos Kourentzes)Preprint submitted to Expert Systems with ApplicationsJanuary 22, 20141. IntroductionWith the continuing increase in computing power and availability of data,there has been a growing interest in the use of artificial Neural