Neural Networks & Fuzzy Systems

This book provides theory on the use of artificial intelligence techniques and relevant insight on application development by organizing intelligen...

This book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial advancements over tradi...

The text comprehensively discusses computational models including artificial neural networks, agent-based models, and decision field theory for rel...

A First Course in Fuzzy Logic, Fourth Edition is an expanded version of the successful third edition. It provides a comprehensive introduction to t...

With so much artificial intelligence (AI) in the headlines, it is no surprise that businesses are scrambling to exploit this exciting and transform...

With so much artificial intelligence (AI) in the headlines, it is no surprise that businesses are scrambling to exploit this exciting and transform...

The world is on the verge of fully ushering in the fourth industrial revolution, of which artificial intelligence (AI) is the most important new ge...

Due to increasing industry 4.0 practices, massive industrial process data is now available for researchers for modelling and optimization. Artifici...

Artificial Neural Network-based Optimized Design of Reinforced Concrete Structures introduces AI-based Lagrange optimization techniques that can en...

Cognitive Computing is a new topic which aims to simulate human thought processes using computers that self-learn through data mining, pattern reco...

Toward Deep Neural Networks: WASD Neuronet Models, Algorithms, and Applications introduces the outlook and extension toward deep neural networks, w...

Nanoscale devices attracted significant research effort from the industry and academia due to their operation principals being based on different p...

Simulation of brain neurons in real-time using biophysically-meaningful models is a pre-requisite for comprehensive understanding of how neurons pr...

This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. In ...

This book presents an introductory coverage of fuzzy logic, including basic principles from an interdisciplinary perspective. It includes concept o...

Deep learning is an important element of artificial intelligence, especially in applications such as image classification in which various architec...

Industrial revolutions have impacted both, manufacturing and service. From the steam engine to digital automated production, the industrial revolut...

Since the invention of computers and other similar machines, scientists and researchers have been trying very hard to enhance their capabilities to...

Brain Technology in Augmented Cognition: Current and Future Trends informs engineers interested in human-computer interaction about the current sta...

Arduino 101 houses an Intel Curie module which offers a better performance at a lower power footprint. The module has two 32-bit MCUs - an x86 Inte...

With the advances in artificial intelligence and hyperconnectivity, the necessity for a holistic approach to understanding the origin and emergence...

This book proposes analysis and design techniques for fuzzy systems using adaptive technology, event triggering mechanism, sampling control technol...

This monograph is devoted to the consideration of new deep neural networks Evolving Hybrid Stacking Neuro-Neo-Fuzzy Systems of Artificial Intellig...

Interactive media are a human-machine interface that allows people to connect with each other by making them active participants in the media they ...

This book provides a fun and accessible introduction to graph algorithms, commonly used to solve a wide range of computational and mathematical pro...

Unlock the transformative potential of deep learning in your professional and academic endeavors with Deep Learning in Engineering, Energy and Fina...

What are the principles behind intelligent systems? How are they built? What are intelligent systems useful for? How do we choose the right tool fo...

This book provides a new model for clustering, classification, and time series prediction by using artificial neural networks to computationally si...

The ten-volume set LNCS 15016-15025 constitutes the refereed proceedings of the 33rd International Conference on Artificial Neural Networks and Mac...

The ten-volume set LNCS 15016-15025 constitutes the refereed proceedings of the 33rd International Conference on Artificial Neural Networks and Mac...

The ten-volume set LNCS 15016-15025 constitutes the refereed proceedings of the 33rd International Conference on Artificial Neural Networks and Mac...

The ten-volume set LNCS 15016-15025 constitutes the refereed proceedings of the 33rd International Conference on Artificial Neural Networks and Mac...

The ten-volume set LNCS 15016-15025 constitutes the refereed proceedings of the 33rd International Conference on Artificial Neural Networks and Mac...

The ten-volume set LNCS 15016-15025 constitutes the refereed proceedings of the 33rd International Conference on Artificial Neural Networks and Mac...

This book constitutes the refereed proceedings of the 11th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2024, held...

The ten-volume set LNCS 15016-15025 constitutes the refereed proceedings of the 33rd International Conference on Artificial Neural Networks and Mac...

The ten-volume set LNCS 15016-15025 constitutes the refereed proceedings of the 33rd International Conference on Artificial Neural Networks and Mac...

Mathematical chaos in neural networks is a powerful tool that reflects the worlds complexity and has the potential to uncover the mysteries of the ...

This book provides insights into contemporary issues and challenges in soft computing applications and techniques in healthcare. It will be a usefu...

The book emphasizes the role of data in driving healthcare transformation, providing readers with a roadmap for understanding and effectively imple...