Fundamentals of the New Artificial Intelligence: Neural, Evolutionary, Fuzzy and More, 2nd Edition
This book provides a comprehensive introduction to several key areas of artificial intelligence (AI), focusing on their practical applications. It delves into the core concepts, algorithms, and techniques of:
- Neural Networks: These are computational models inspired by the structure and function of the human brain, used for tasks like pattern recognition, image processing, and natural language processing.
- Evolutionary Algorithms: These algorithms mimic the process of natural selection to solve optimization problems, such as finding optimal solutions for complex engineering designs.
- Fuzzy Systems: These systems handle uncertainty and imprecision, making them suitable for real-world applications where precise data is unavailable or difficult to obtain.
Key Features of the Book:
- Clear and Concise Explanations: The book presents complex concepts in a clear and accessible manner, making it suitable for readers with a basic understanding of computer science and mathematics.
- Real-World Applications: It highlights the practical applications of these techniques in various fields, such as finance, medicine, and robotics.
- Updated Content: The second edition incorporates the latest advancements in AI, including new algorithms, techniques, and applications.
- Hands-on Approach: The book includes practical examples and exercises to help readers gain hands-on experience with AI concepts.
Key Topics Covered:
- Neural Networks:
- Perceptrons
- Backpropagation
- Convolutional Neural Networks
- Recurrent Neural Networks
- Evolutionary Algorithms:
- Genetic Algorithms
- Evolutionary Programming
- Genetic Programming
- Fuzzy Systems:
- Fuzzy Sets
- Fuzzy Logic
- Fuzzy Inference Systems
- Other Topics:
- Simulated Annealing
- Boltzmann Machines
- Rough Sets
- Chaos Theory
If you're interested in learning about the fundamentals of AI and how these techniques can be applied to real-world problems, this book is an excellent resource. It provides a solid foundation for further exploration of AI and its potential applications.
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