Hybrid Neural Networks

What Is Hybrid Neural Networks

The phrase “hybrid neural network” can refer to either biological neural networks that interact with artificial neuronal models or artificial neural networks that also have a symbolic component. Both of these interpretations are possible.

How You Will Benefit

(I) Insights, and validations about the following topics:

Chapter 1: Hybrid neural network

Chapter 2: Connectionism

Chapter 3: Computational neuroscience

Chapter 4: Symbolic artificial intelligence

Chapter 5: Neuromorphic engineering

Chapter 6: Recurrent neural network

Chapter 7: Neural network

Chapter 8: Neuro-fuzzy

Chapter 9: Spiking neural network

Chapter 10: Hierarchical temporal memory

(II) Answering the public top questions about hybrid neural networks.

(III) Real world examples for the usage of hybrid neural networks in many fields.

Who This Book Is For

Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of hybrid neural networks.

What Is Artificial Intelligence Series

The artificial intelligence book series provides comprehensive coverage in over 200 topics. Each ebook covers a specific Artificial Intelligence topic in depth, written by experts in the field. The series aims to give readers a thorough understanding of the concepts, techniques, history and applications of artificial intelligence. Topics covered include machine learning, deep learning, neural networks, computer vision, natural language processing, robotics, ethics and more. The ebooks are written for professionals, students, and anyone interested in learning about the latest developments in this rapidly advancing field.
The artificial intelligence book series provides an in-depth yet accessible exploration, from the fundamental concepts to the state-of-the-art research. With over 200 volumes, readers gain a thorough grounding in all aspects of Artificial Intelligence. The ebooks are designed to build knowledge systematically, with later volumes building on the foundations laid by earlier ones. This comprehensive series is an indispensable resource for anyone seeking to develop expertise in artificial intelligence.