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Titlebook: Soft Computing for Problem Solving 2019; Proceedings of SocPr Atulya K. Nagar,Kusum Deep,Kedar Nath Das Conference proceedings 2020 Springe

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发表于 2025-3-21 20:00:45 | 显示全部楼层 |阅读模式
书目名称Soft Computing for Problem Solving 2019
副标题Proceedings of SocPr
编辑Atulya K. Nagar,Kusum Deep,Kedar Nath Das
视频video
概述Provides valuable insights in the area of computational intelligence to help new researchers.Discusses the latest findings relating to a wide variety of industrial, engineering and scientific applicat
丛书名称Advances in Intelligent Systems and Computing
图书封面Titlebook: Soft Computing for Problem Solving 2019; Proceedings of SocPr Atulya K. Nagar,Kusum Deep,Kedar Nath Das Conference proceedings 2020 Springe
描述This book features the outcomes of the 9th International Conference on Soft Computing for Problem Solving, SocProS 2019, which brought together researchers, engineers and practitioners to discuss thought-provoking developments and challenges in order to identify potential future directions. The book presents the latest advances and innovations in the interdisciplinary areas of soft computing, including original research papers in areas such as 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 that cannot easily be solved using traditional methods. 
出版日期Conference proceedings 2020
关键词SocPros 2019; Soft Computing; Computational Intelligence; Swarm Intelligence; Evolutionary Computation; A
版次1
doihttps://doi.org/10.1007/978-981-15-3287-0
isbn_softcover978-981-15-3286-3
isbn_ebook978-981-15-3287-0Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer Nature Singapore Pte Ltd. 2020
The information of publication is updating

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Atulya K. Nagar,Kusum Deep,Kedar Nath DasProvides valuable insights in the area of computational intelligence to help new researchers.Discusses the latest findings relating to a wide variety of industrial, engineering and scientific applicat
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Exponential Adaptive Strategy in Spider Monkey Optimization Algorithm,roposes a modified variant of SMOA that is based on an exponential adaptive strategy for step size. During the search of the optimal solution, this exponential strategy is used to adjust the step size so that it can speed up the convergence ability of the swarm. The proposed algorithm is termed as e
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Development of Fuzzy Knowledge-Based System for Water Quality Assessment in River Ganga,ent of water quality is a very indeterminate task and associates a lot of uncertainty and subjectivity in the decision making. To cope with this situation, computational intelligence techniques are found competent to develop models for water quality assessment. One of the computational intelligence
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,Using Convolutional Neural Networks to Predict Colon Cancer Patients Survival,tained tissue slides. A deep convolutional neural network is trained by transfer learning using 100,000 HE images achieving a nine-class accuracy .. This model is then used to segment digital whole slide images from a cohort of patients from the Cancer Genome Atlas (TCGA). The classification map pro
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