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Titlebook: Evolutionary Machine Learning Techniques; Algorithms and Appli Seyedali Mirjalili,Hossam Faris,Ibrahim Aljarah Book 2020 Springer Nature Si

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,De Beauvoir’s ,: A Critical Appraisal,model can help in understanding the evolution of interactions and relationships between network members. Many applications use link prediction such as recommendation systems. Most of the existing link prediction algorithms are based on similarity measures, such as common neighbors and the Adamic/Ada
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https://doi.org/10.1007/978-1-349-00080-7tomate this process. In this chapter, an EvoloPy-FS framework is proposed, which is a Python open-source optimization framework that includes several well-regarded swarm intelligence (SI) algorithms. It is geared toward feature selection optimization problems. It is an easy to use, reusable, and ada
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https://doi.org/10.1007/978-3-642-99339-8 care, industry, and transportation. As we are entering Internet of things (IoT) digital era, IoT devices not only hack our world, but also start to hack our personal life. The widespread IoT has created a rich platform for potential IoT cyberattacks. Data mining and machine learning techniques have
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Seyedali Mirjalili,Hossam Faris,Ibrahim AljarahProvides an in-depth analysis of the current evolutionary machine learning techniques.Includes training algorithms for machine learning techniques.Covers the application of improved artificial neural
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Algorithms for Intelligent Systemshttp://image.papertrans.cn/e/image/317971.jpg
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