Neural networks and fuzzy systems

This volume covers the fundamental theory of Cellular Neural Networks as well as their applications in various fields such as science and technology.

The Pacific Symposium on Biocomputing (PSB 2003) is an international, multidisciplinary conference for the presentation and discussion of current research in the theory and application of computational methods in problems of biological significance.

This book provides a thorough theoretical and practical introduction to the application of neural networks to pattern recognition and intelligent signal processing.

The Pacific Symposium on Biocomputing (PSB 2004) is an international, multidisciplinary conference for the presentation and discussion of current research on the theory and application of computational methods in problems of biological significance.

In recent years, complex-valued neural networks have widened the scope of application in optoelectronics, imaging, remote sensing, quantum neural devices and systems, spatiotemporal analysis of physiological neural systems, and artificial neural information processing.

This book systematically synthesizes research achievements in the field of fuzzy neural networks in recent years.

This book collects together refereed versions of papers presented at the Eighth Neural Computation and Psychology Workshop (NCPW 8).

For engineering applications that are based on nonlinear phenomena, novel information processing systems require new methodologies and design principles.

The book should serve as a text for a university graduate course or for an advanced undergraduate course on neural networks in engineering and computer science departments.

This is truly an interdisciplinary book for knowledge workers in business, finance, management and socio-economic sciences based on fuzzy logic.

This volume provides students with the necessary tools to better understand the fields of neurobiological modeling, cluster analysis of proteins and genes.

Sensor networks have many interesting applications with great utility; however, their actually deployment and realization rely on continuous innovations and solutions to many challenging problems.

Volume III continues the author's quest for developing a pedagogical, self-contained, yet rigorous analytical theory of 1-D cellular automata via a nonlinear dynamics perspective.

Communication networks and distributed system technologies are undergoing rapid advancements.

This book provides a new forum for the dissemination of knowledge in both theoretical and applied research on swarm intelligence (SI) and artificial neural network (ANN).

This book comprehensively studies fuzzy temporal and spatial information, starting from the basics on fuzzy set theory and temporal/spatial reasoning, the development of a new model to represent fuzzy temporal/spatial information, the study of efficient and complete reasoning algorithms, and their application in an information retrieval context.

This volume collects together most of the papers presented at the Twelfth Neural Computation and Psychology Workshop (NCPW12) held in 2010 at Birkbeck College (England).

This book contains a selection of the papers presented at the XVII SIGEF Congress.

This unique compendium presents a comprehensive and self-contained theory of material development under imperfect information and its applications.

Nowadays, voluminous textbooks and monographs in fuzzy logic are devoted only to separate or some combination of separate facets of fuzzy logic.

At the fascinating frontiers of neurobiology, mathematics and psychophysics, this book addresses the problem of human and computer vision on the basis of cognitive modeling.

New Edition: The Nonlinear Workbook (6th Edition)The study of nonlinear dynamical systems has advanced tremendously in the last 20 years, making a big impact on science and technology.

The concept of soft computing is still in its initial stages of crystallization.

This textbook is intended for a first-year graduate course on Artificial Neural Networks.

A general neural-network-based connectionist model, called Fuzzy Neural Network (FNN), is proposed in this book for the realization of a fuzzy logic control and decision system.

This significantly revised edition presents a broad introduction to Control Systems and balances new, modern methods with the more classical.

Have over a hundred years of brain research revealed all its secrets?

The aim of this book is to handle different application problems of science and engineering using expert Artificial Neural Network (ANN).

This volume links the concept of granular computing using deep learning and the Internet of Things to object tracking for video analysis.

This unique compendium represents important action of fuzzy systems to quantum mechanics.

The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence and Machine Learning.

Towards Neuromorphic Machine Intelligence: Spike-Based Representation, Learning, and Applications provides readers with in-depth understanding of Spiking Neural Networks (SNNs), which is a burgeoning research branch of Artificial Neural Networks (ANNs), AI, and Machine Learning that sits at the heart of the integration between Computer Science and Neural Engineering.

Mathematical Foundations for Deep Learning bridges the gap between theoretical mathematics and practical applications in artificial intelligence (AI).

This book addresses the challenges posed by adopting and developing new AI technologies and how they impact people.

Dive into the world of AI with this comprehensive guide that covers everything from foundational principles to cutting-edge techniques and applications.

Soziale Medien haben sich in den letzten Jahren als ein wichtiges Marketing-Instrument herauskristallisiert.

Applying artificial intelligence (AI) to new fields has made AI and data science indispensable to researchers in a wide range of fields.

Künstliche Intelligenz und maschinelles Lernen, neuronale Netzwerke und Deep Learning – nichts davon ist wirklich neu.

Unser menschliches Gehirn lernt aus Erfahrungen, die uns widerfahren.

Revolutionizing Communication: The Role of Artificial Intelligence explores the wide-ranging effects of artificial intelligence (AI) on how we connect and communicate, changing social interactions, relationships, and the very structure of our society.

An Introduction to Universal Artificial Intelligence provides the formal underpinning of what it means for an agent to act intelligently in an unknown environment.

Master advanced techniques and algorithms for machine learning with PyTorch using real-world examples Updated for PyTorch 2.

This book is a comprehensive guide that explores the latest developments in anomaly detection techniques across a range of fields, including cybersecurity, finance, image processing, sensor networks, social network analysis, health systems, and IoT systems.

AI for Knowledge explores the question of whether artificial intelligence (AI) is transforming knowledge access and creation for the good.

This book introduces the theories and methods of Nature-Inspired Robotics in artificial intelligence.

Image processing plays a crucial role in various fields, including digital multimedia, automated vision detection and inspection, and pattern recognition.

Complex interacting networks are observed in systems from such diverse areas as physics, biology, economics, ecology, and computer science.