Machine Learning And Neural Networks Essentials


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Machine Learning and Neural Network Essentials


Machine Learning and Neural Network Essentials

Author: Mrs.S.Anandhi

language: en

Publisher: SK Research Group of Companies

Release Date: 2025-04-07


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Mrs.S.Anandhi, Assistant Professor, Department of Information Technology, Thirumalai Engineering College, Kancheepuram, Tamil Nadu, India. Mr.S.Kerthy, Assistant Professor, Department of Information Technology, Jeppiaar Institute of Technology, Sunguvarchatram, Chennai, Tamil Nadu, India. Mr.D.Mohan, Assistant Professor, Department of Computer Science and Engineering, Global Institute of Engineering and Technology, Melvisharam, Tamil Nadu, India.

Machine Learning and Neural Networks Essentials


Machine Learning and Neural Networks Essentials

Author: Dr.R.Balamanigandan

language: en

Publisher: SK Research Group of Companies

Release Date: 2024-12-27


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Dr.R.Balamanigandan, Professor & Head, Department of Neural Networks, Institute of Computer Science & Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India. Dr.T.B.Sivakumar, Associate Professor, Department of Computer Science and Engineering, School of Computing, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, India. Mr.S.Thumilvannan, Assistant Professor, Department of Computer Science and Engineering, Kings Engineering College, Chennai, Tamil Nadu, India. Mrs.A.Anto Sagaya Priscilla, Research Scholar, Department of Neural Networks, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India.

Fundamentals of Artificial Neural Networks


Fundamentals of Artificial Neural Networks

Author: Mohamad H. Hassoun

language: en

Publisher: MIT Press

Release Date: 1995


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A systematic account of artificial neural network paradigms that identifies fundamental concepts and major methodologies. Important results are integrated into the text in order to explain a wide range of existing empirical observations and commonly used heuristics.