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Titlebook: Recent Innovations in Computing; Proceedings of ICRIC Pradeep Kumar Singh,Yashwant Singh,Chaman Verma Conference proceedings 2022 The Edito

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Samayveer Singh,Aruna Malik,Pawan Singh Mehra,Pradeep Kumar Singhion systems from the view point of its components. Then we propose a decompositional rule extraction method based on RBF neural networks. In the proposed rule extraction method, rules are extracted from trained RBF neural networks with class-dependent features. GA is used to determine the feature su
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Shailender,Shelej Khera,Sajjan Singh,Jyotictice. For example, the ?tness function is uncertain or noisy as a result of simulation errors, measurement errors or approximation errors. In addition, the design variables or environmental conditions may also perturb or change over time. For these dynamic and uncertain optimization problems, the o
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Jyoti Hatte,Shivleela Mudda,K. M. Gayathri,Rupali B. Patilctice. For example, the ?tness function is uncertain or noisy as a result of simulation errors, measurement errors or approximation errors. In addition, the design variables or environmental conditions may also perturb or change over time. For these dynamic and uncertain optimization problems, the o
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Mala Saraswat,Rishi Saraswat,Renu Bahugunar environmental conditions may also perturb or change over time. For these dynamic and uncertain optimization problems, the o978-3-642-08065-4978-3-540-49774-5Series ISSN 1860-949X Series E-ISSN 1860-9503
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Ritu Dewan,Khandakar Faridar Rahmanr environmental conditions may also perturb or change over time. For these dynamic and uncertain optimization problems, the o978-3-642-08065-4978-3-540-49774-5Series ISSN 1860-949X Series E-ISSN 1860-9503
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Vivechana Maan,Aruna Malikr environmental conditions may also perturb or change over time. For these dynamic and uncertain optimization problems, the o978-3-642-08065-4978-3-540-49774-5Series ISSN 1860-949X Series E-ISSN 1860-9503
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