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Titlebook: Soft Computing for Problem Solving; Proceedings of SocPr Aruna Tiwari,Kapil Ahuja,Atulya K. Nagar Conference proceedings 2021 The Editor(s)

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书目名称Soft Computing for Problem Solving
副标题Proceedings of SocPr
编辑Aruna Tiwari,Kapil Ahuja,Atulya K. Nagar
视频video
概述Presents research works in the field of soft computing.Provides original works presented at SocProS 2020 held in Indore, India.Serves as a reference for researchers and practitioners in academia and i
丛书名称Advances in Intelligent Systems and Computing
图书封面Titlebook: Soft Computing for Problem Solving; Proceedings of SocPr Aruna Tiwari,Kapil Ahuja,Atulya K. Nagar Conference proceedings 2021 The Editor(s)
描述This two-volume book provides an insight into the 10th International Conference on Soft Computing for Problem Solving (SocProS 2020). This international conference is a joint technical collaboration of Soft Computing Research Society and Indian Institute of Technology Indore. The book presents the latest achievements and innovations in the interdisciplinary areas of soft computing. It brings together the researchers, engineers and practitioners to discuss thought-provoking developments and challenges, in order to select potential future directions. It covers original research papers in the areas including but not limited to algorithms (artificial immune system, artificial neural network, genetic algorithm, genetic programming and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). The book will be beneficial for young as well as experienced researchers dealing across complex and intricate real-world problems for which finding a solution by traditional methods is a difficult task..
出版日期Conference proceedings 2021
关键词Soft Computing; Computational Intelligence; Swarm Intelligence; Evolutionary Computation; Artificial Neu
版次1
doihttps://doi.org/10.1007/978-981-16-2709-5
isbn_softcover978-981-16-2708-8
isbn_ebook978-981-16-2709-5Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Neuro-Control of Inverted Pendulum,is containing only one higher level of neuron to handle Non-Polynomial (NP) hard problem like an inverted problem. The results are also compared with conventional PID controller and standard neural control.
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A Multi-criteria Evaluation of Evolutionary Algorithms Against Segment Based Shilling Attacks,o are the two evaluation metrics that have been used for investigation. A publicly available dataset, namely Movielens of different sizes have been used for conducting experiments. Results depict the increasing prediction shift and hit ratio with increasing attack size.
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Gradient-Based Versus Gradient-Free Algorithms for Reinforcement Learning,h, in spite of GPU-assisted training. This demonstrates the inappropriate nature of gradient-based routines for optimization, with the coincidence, enhanced potential of GA-based perspective, augmented by parallelizing and training GPUs.
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,Cattle Feed Formulation Using Modified Dual Simplex Method—An Android Application,ng the selection of feed, a list of feeds (with quantity in kg) necessary for a total feed at a minimum cost will be given. The linear programming model (simplex LP, fmincon MATLAB) was executed and compared for least-cost feed formulation techniques with CFF application. There was no significant di
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Case Study of Developing an Electromyogram-Based Exoskeleton Control for Upper Limb Rehabilitation,ployed as the classifier and evaluated based on the classification accuracy (CA), training time (TT), model prediction time (PT), and cross-validation accuracy (CVA). The influence of the sequential feature selection (SFS) algorithm on both the predictive models was examined. The study showed that t
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