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Více informací o knize Artificial Intelligence Techniques and Optimization

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Anotace knihy

The document you uploaded appears to be a textbook on Artificial Intelligence techniques and optimization processes, written by Dr. G. Kumaresan. The book covers various topics in AI, including state-space search, adversarial search, propositional and predicate logic, and optimization algorithms. It also delves into different learning methods such as supervised, unsupervised, and reinforcement learning, as well as neural networks and ensemble learning techniques. If you are asking for a specific description related to a particular section of the document, please clarify which topic or area you want a detailed description of, and I can assist you accordingly. If you are referring to the overall description of the book, I can summarize the contents as follows:Focus: The book is aimed at exploring artificial intelligence techniques and their optimization processes. It provides insights into how AI systems solve complex problems, enhance decision-making, and optimize performance in various applications.Target Audience: This is intended for beginners and those looking to understand the fundamental principles of AI. It also seems suitable for advanced readers looking for practical implementations of AI algorithms. Content Breakdown: The book explains search algorithms, learning methods (including neural networks and reinforcement learning), and AI's role in solving real-world problems like optimization. Let me know how you'd like to proceed or if you have a specific section in mind!

Parametry knihy

Zařazení knihy Knihy v němčině Naturwissenschaften, Medizin, Informatik, Technik Informatik, EDV Informatik, EDV - Sonstiges

• Plný název: Artificial Intelligence Techniques and Optimization
• Autor: Dr. G. Kumaresan
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 340
• EAN: 9789355287922
• ISBN: 9355287925
• ID: 46849616
• Nakladatelství: MJP Publisher
• Hmotnost: 480 g
• Rozměry: 216 × 140 × 20 mm
• Datum vydání: 01. September 2024

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