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Soft computing for problem solvingSo...

(1998 :)

Soft computing for problem solvingSocProS 2017.Volume 1 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Soft computing for problem solvingedited by Jagdish Chand Bansal ... [et al.].
其他題名:	SocProS 2017.
其他作者:	Bansal, Jagdish Chand.
團體作者:
出版者:	Singapore :Springer Singapore :2019.
面頁冊數:	xvii, 975 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Soft computingCongresses.
電子資源:	https://doi.org/10.1007/978-981-13-1592-3
ISBN:	9789811315923$q(electronic bk.)

Soft computing for problem solvingSocProS 2017.Volume 1 /
Soft computing for problem solvingSocProS 2017.Volume 1 /[electronic resource] :edited by Jagdish Chand Bansal ... [et al.]. - Singapore :Springer Singapore :2019. - xvii, 975 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.8162194-5357 ;. - Advances in intelligent systems and computing ;176..

Hindi Speech Synthesis Using Paralinguistic Content Expression -- Stability Analysis and Controller Design for Unstable Systems Using Relay Feedback Approach -- A Novel Approach to Handling Forecasting Problems Based on Moving Average Two-factors Fuzzy Time Series -- Linking Brainstem Cholinergic Input to Thalamocortical Circuitry -- Using NSGA-II to Solve Interactive Fuzzy Multi-objective Reliability Optimization in Complex System -- Detecting Image Forgery in Single-sensor Multispectral Images -- A Hardware Architecture Based on Genetic Clustering for Colour Image Segmentation -- Bat Algorithm Based Traffic Signal Optimization Problem.

This two-volume book presents outcomes of the 7th International Conference on Soft Computing for Problem Solving, SocProS 2017. This conference is a joint technical collaboration between the Soft Computing Research Society, Liverpool Hope University (UK), the Indian Institute of Technology Roorkee, the South Asian University New Delhi and the National Institute of Technology Silchar, and brings together researchers, engineers and practitioners to discuss thought-provoking developments and challenges in order to select potential future directions The book presents the latest advances and innovations in the interdisciplinary areas of soft computing, including original research papers in the areas including, but not limited to, algorithms (artificial immune systems, artificial neural networks, genetic algorithms, genetic programming, and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications) It is a valuable resource for both young and experienced researchers dealing with complex and intricate real-world problems for which finding a solution by traditional methods is a difficult task.

ISBN: 9789811315923$q(electronic bk.)

Standard No.: 10.1007/978-981-13-1592-3doiSubjects--Topical Terms:

387156
Soft computing
--Congresses.

LC Class. No.: QA76.9.S63

Dewey Class. No.: 006.3

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520 $a This two-volume book presents outcomes of the 7th International Conference on Soft Computing for Problem Solving, SocProS 2017. This conference is a joint technical collaboration between the Soft Computing Research Society, Liverpool Hope University (UK), the Indian Institute of Technology Roorkee, the South Asian University New Delhi and the National Institute of Technology Silchar, and brings together researchers, engineers and practitioners to discuss thought-provoking developments and challenges in order to select potential future directions The book presents the latest advances and innovations in the interdisciplinary areas of soft computing, including original research papers in the areas including, but not limited to, algorithms (artificial immune systems, artificial neural networks, genetic algorithms, genetic programming, and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications) It is a valuable resource for both young and experienced researchers dealing with complex and intricate real-world problems for which finding a solution by traditional methods is a difficult task.
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