Handbook of Artificial Intelligence for Music: Foundations, Advanced Approaches, and Developments for Creativity, Miranda Eduardo Reck
Название: Handbook of Artificial Intelligence in Biomedical Engineering ISBN: 1771889209 ISBN-13(EAN): 9781771889209 Издательство: Taylor&Francis Рейтинг: Цена: 20686.00 р. 29552.00-30% Наличие на складе: Есть (1 шт.) Описание: Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field.
Описание: This book is an authoritative collection of contributions in the field of soft-computing. Based on selected works presented at the 6th World Conference on Soft Computing, held on May 22-25, 2016, in Berkeley, USA, it describes new theoretical advances, as well as cutting-edge methods and applications. Theories cover a wealth of topics, such as fuzzy logic, cognitive modeling, Bayesian and probabilistic methods, multi-criteria decision making, utility theory, approximate reasoning, human-centric computing and many others. Applications concerns a number of fields, such as internet and semantic web, social networks and trust, control and robotics, computer vision, medicine and bioinformatics, as well as finance, security and e-Commerce, among others. Dedicated to the 50th Anniversary of Fuzzy Logic and to the 95th Birthday Anniversary of Lotfi A. Zadeh, the book not only offers a timely view on the field, yet it also discusses thought-provoking developments and challenges, thus fostering new research directions in the diverse areas of soft computing.
Описание: FLINS, an acronym introduced in 1994 and originally for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended into a well-established international research forum to advance the foundations and applications of computational intelligence for applied research in general and for complex engineering and decision support systems.The principal mission of FLINS is bridging the gap between machine intelligence and real complex systems via joint research between universities and international research institutions, encouraging interdisciplinary research and bringing multidiscipline researchers together.FLINS 2020 is the fourteenth in a series of conferences on computational intelligence systems.
Описание: Developments in Natural Intelligence Research and Knowledge Engineering: Advancing Applications covers the intricate worlds of thought, comprehension, intelligence, and knowledge through the scientific field of Cognitive Science. This groundbreaking reference contains research from global experts, covering topics that have been pivotal at major conferences covering Cognitive Science topics.
Описание: Presents scholarly material on the design, implementation, and integration of intelligent applications across numerous industries. Highlighting a range of innovative topics such as enterprise modelling, remote patient monitoring, and service-oriented architecture, this book is designed for researchers, engineers, computer scientists, academics, students, and professionals.
Автор: Yuhui Shi Название: Critical Developments and Applications of Swarm Intelligence ISBN: 1522551344 ISBN-13(EAN): 9781522551348 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 29469.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Artificial intelligence is a constantly advancing field that requires models in order to accurately create functional systems. The use of natural acumen to create artificial intelligence creates a field of research in which the natural and the artificial meet in a new and innovative way. Critical Developments and Applications of Swarm Intelligence is a critical academic publication that examines developing research, technologies, and function regarding natural and artificial acumen specifically, in regards to self-organized systems. Featuring coverage on a broad range of topics such as evolutionary algorithms, optimization techniques, and computational comparison, this book is geared toward academicians, students, researchers, and engineers seeking relevant and current research on the progressive research based on the implementation of swarm intelligence in self-organized systems.
The continuous increase in demand towards lowering production costs to withstand cutthroat competition has prompted researchers to look for rigorous methods of decision making. As search for best has always fascinated mankind, operations or strategies have been attempted and devised for searching optimum solutions for variety of problems in all branches of activities perceived by logic or intitution or both. With this motivation in this work novel fuzzy machine learning algorithms are proposed to develop optimum solutions for several optimization problems. The emphasis of proposed methodologies is given on handling data sets which are large both in size and dimension and involves classes that are overlapping, intractable and have non-linear boundaries. Several strategies based on data reduction, dimensionality reduction, active learning efficient search heuristics are employed for dealing with scaling issues The problems handle linguistic input and ambiguous output decision, learning of overlapping and intractable class structures, selection of optimal parameters and discovering human comprehensible knowledge in form of linguistic rules. The different features of methodologies along with comparisons with those of related ones are demonstrated extensively on different real life data sets. The experimental data have been considered from variety of domains. The superiority of models over the benchmark are found to be effective and significant.
This book is generally suited for bachelor, master and research students working for courses in engineering optimization, operations research and operations management. It will also be immensely beneficial to industry professions as well as to scientists and postdocs working at research institutes working in abovementioned domains. The prima face of this book is to highlight certain insights and findings for some important optimization problems over the period of past 10 years. All the proposed algorithms are of continuous evolving nature. The problems considered here include traveling salesman problem, transportation problem, non-convex optimization, dynamic programming, strategic games, resource allocation problem and job assignment problems. The solutions of these problems are developed using machine learning approaches by integrating fuzzy logic, neural networks, deep learning, and genetic algorithms.
Table of contents
Introduction
Mathematical Foundations: Optimization and Fuzzy Machine Learning
Hieararchical Fuzzy Self Organizing Map for Traveling Salesman Problem
Transportation Problem through Probalistic and Fuzzy Uncertainties
Hierarchical Fuzzy Deep Learning for Strategic Game Theory Problem
Fuzziness in Non-Convex Optimization
Fuzziness in Dynamic Programming
Fuzzy Multi-Objective Optimization for Resource Allocation Problem
Hierarchical Fuzzy Deep Learning for Job Assignment Problems
Описание: As businesses undergo digital transformation, technologies will lead to greater efficiencies and change how we interact in traditional relationships among suppliers, producers, and customers, as well as between human and machine. One such technology is the introduction of management information systems (MIS) that provide a company with the coordination, control, analysis, and visualization of information by collecting from various digital environments. In today's digital age, information needs to be managed, and MIS have the ability to transfer the information obtained by computer systems to the business operations within the business models, business processes, and management functions.
Advanced MIS and Digital Transformation for Increased Creativity and Innovation in Business is an essential reference source that discusses the impact of digital technologies in enterprises and their competitive environment on management information systems and examines the application of new technologies to support strategic decisions and realize exciting visions. Featuring research on topics such as machine learning, resource planning, and e-commerce, this book is ideally designed for managers, executives, IT specialists, analysts, business professionals, training officers, software engineers, business administrators, scholars, researchers, and practitioners seeking coverage on future trends, issues, and challenges in relation to management information systems.
Автор: Mangey Ram Название: Advanced Fuzzy Logic Approaches in Engineering Science ISBN: 1522557091 ISBN-13(EAN): 9781522557098 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 30723.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Fuzzy logic techniques have had extraordinary growth in various engineering systems. The developments in engineering sciences have caused apprehension in modern years due to high-tech industrial processes with ever-increasing levels of complexity.Advanced Fuzzy Logic Approaches in Engineering Science provides innovative insights into a comprehensive range of soft fuzzy logic techniques applied in various fields of engineering problems like fuzzy sets theory, adaptive neuro fuzzy inference system, and hybrid fuzzy logic genetic algorithms belief networks in industrial and engineering settings. The content within this publication represents the work of particle swarms, fuzzy computing, and rough sets. It is a vital reference source for engineers, research scientists, academicians, and graduate-level students seeking coverage on topics centered on the applications of fuzzy logic in high-tech industrial processes.
Описание: Advanced research in the field of mechatronics and robotics represents a unifying interdisciplinary and intelligent engineering science paradigm. It is a holistic, concurrent, and interdisciplinary engineering science that identifies novel possibilities of synergizing and fusing different disciplines.
The Handbook of Research on Advanced Mechatronic Systems and Intelligent Robotics is a collection of innovative research on the methods and applications of knowledge in both theoretical and practical skills of intelligent robotics and mechatronics. While highlighting topics including green technology, machine learning, and virtual manufacturing, this book is ideally designed for researchers, students, engineers, and computer practitioners seeking current research on developing innovative ideas for intelligent robotics and autonomous and smart interdisciplinary mechatronic products.
Автор: Bhattacharyya Siddhartha, Banerjee Pinaki, Majumdar Dipankar Название: Handbook of Research on Advanced Hybrid Intelligent Techniques and Applications ISBN: 1466694742 ISBN-13(EAN): 9781466694743 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 41580.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Conventional computational methods, and even the latest soft computing paradigms, often fall short in their ability to offer solutions to many real-world problems due to uncertainty, imprecision, and circumstantial data. Hybrid intelligent computing is a paradigm that addresses these issues to a considerable extent.The Handbook of Research on Advanced Research on Hybrid Intelligent Techniques and Applications highlights the latest research on various issues relating to the hybridization of artificial intelligence, practical applications, and best methods for implementation. Focusing on key interdisciplinary computational intelligence research dealing with soft computing techniques, pattern mining, data analysis, and computer vision, this book is relevant to the research needs of academics, IT specialists, and graduate-level students.
Автор: Yuhui Shi Название: Innovations and Developments of Swarm Intelligence Applications ISBN: 1466615923 ISBN-13(EAN): 9781466615922 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 28413.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Explores the emerging realm of swarm intelligence, which finds its basis in the natural social behaviour of animals. The study and application of this swarm behaviour has led scientists to a new world of research as ways are found to apply this behaviour to independent intelligent agents, creating complex solutions for real world applications.
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