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Titlebook: Intelligent and Interactive Computing; Proceedings of IIC 2 Vincenzo Piuri,Valentina Emilia Balas,Sharifah Sak Conference proceedings 2019

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书目名称Intelligent and Interactive Computing
副标题Proceedings of IIC 2
编辑Vincenzo Piuri,Valentina Emilia Balas,Sharifah Sak
视频video
概述Presents research on computational approaches to learning.Supports results via empirical studies as well as theoretical analysis.Includes current work and research findings which may lead to the devel
丛书名称Lecture Notes in Networks and Systems
图书封面Titlebook: Intelligent and Interactive Computing; Proceedings of IIC 2 Vincenzo Piuri,Valentina Emilia Balas,Sharifah Sak Conference proceedings 2019
描述.This book presents the latest research on computational approaches to learning. It includes high-quality peer-reviewed papers from the “Intelligent and Interactive Computing Conference (IIC 2018)” organized by the Universiti Teknikal Malaysia, Melaka. It uses empirical studies, theoretical analysis, and comparisons with psychological phenomena to show how learning methods can be employed to solve important application problems. The book also describes ongoing research in various research labs, universities and institutions, which may lead to the development of marketable products..
出版日期Conference proceedings 2019
关键词IIC 2018; Intelligent Computing; Biological Computing; Robotics; Interactive Computing; Human-computer In
版次1
doihttps://doi.org/10.1007/978-981-13-6031-2
isbn_softcover978-981-13-6030-5
isbn_ebook978-981-13-6031-2Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightSpringer Nature Singapore Pte Ltd. 2019
The information of publication is updating

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Intelligent and Interactive Computing978-981-13-6031-2Series ISSN 2367-3370 Series E-ISSN 2367-3389
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Lecture Notes in Networks and Systemshttp://image.papertrans.cn/i/image/470216.jpg
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Electricity Price Forecasting Using Neural Network with Parameter Selectionte) and the selection of input data for three types of model. By using the appropriate parameters and inputs, the accuracy of the prediction can be improved. This approach is expected to provide market participants a better bidding strategy and will be used to boost profits in the energy markets using the artificial neural network.
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