Explainable Neural Networks Based on Fuzzy Logic and Multi-Criteria Decision Tools, Dombi Jуzsef, Csiszбr Orsolya

Автор: Davide Calvaresi; Amro Najjar; Michael Schumacher;
Название: Explainable, Transparent Autonomous Agents and Multi-Agent Systems
ISBN: 303030390X ISBN-13(EAN): 9783030303907
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book constitutes the proceedings of the First International Workshop on Explainable, Transparent Autonomous Agents and Multi-Agent Systems, EXTRAAMAS 2019, held in Montreal, Canada, in May 2019. The 12 revised and extended papers presented were carefully selected from 23 submissions. explainable agent simulations;

Автор: Calvaresi Davide, Najjar Amro, Winikoff Michael
Название: Explainable, Transparent Autonomous Agents and Multi-Agent Systems: Second International Workshop, Extraamas 2020, Auckland, New Zealand, May 9-13, 20
ISBN: 3030519236 ISBN-13(EAN): 9783030519230
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book constitutes the proceedings of the Second International Workshop on Explainable, Transparent Autonomous Agents and Multi-Agent Systems, EXTRAAMAS 2020, which was due to be held in Auckland, New Zealand, in May 2020.

Автор: Babanli Mustafa B.
Название: Fuzzy Logic-Based Material Selection and Synthesis
ISBN: 9813276568 ISBN-13(EAN): 9789813276567
Издательство: World Scientific Publishing
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Цена: 95040.00 T
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Описание:

This unique compendium presents a comprehensive and self-contained theory of material development under imperfect information and its applications. The book describes new approaches to synthesis and selection of materials with desirable characteristics. Such approaches provide the ability of systematic and computationally effective analysis in order to predict composition, structure and related properties of new materials.

The volume will be a useful advanced textbook for graduate students. It is also suitable for academicians and practitioners who wish to have fundamental models in new material synthesis and selection.

Автор: Karthikrajan Senthilnathan, Balamurugan Shanmugam, Dinesh Goyal, Iyswarya Annapoorani, Ravi Samikannu
Название: Deep Learning Applications and Intelligent Decision Making in Engineering
ISBN: 1799821099 ISBN-13(EAN): 9781799821090
Издательство: Mare Nostrum (Eurospan)
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Цена: 166320.00 T
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Описание: Provides practical applications of deep learning to improve decision-making methods and construct smart environments. Highlighting topics such as smart transportation, e-commerce, and cyber physical systems, this book is designed for engineers, computer scientists, programmers, software engineers, researchers, academics, and students.

Автор: Karthikrajan Senthilnathan, Balamurugan Shanmugam, Dinesh Goyal, Iyswarya Annapoorani, Ravi Samikannu
Название: Deep Learning Applications and Intelligent Decision Making in Engineering
ISBN: 1799821080 ISBN-13(EAN): 9781799821083
Издательство: Mare Nostrum (Eurospan)
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Цена: 219910.00 T
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Описание: Deep learning includes a subset of machine learning for processing the unsupervised data with artificial neural network functions. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive algorithms to handle more data. When applied to engineering, deep learning can have a great impact on the decision-making process.

Deep Learning Applications and Intelligent Decision Making in Engineering is a pivotal reference source that provides practical applications of deep learning to improve decision-making methods and construct smart environments. Highlighting topics such as smart transportation, e-commerce, and cyber physical systems, this book is ideally designed for engineers, computer scientists, programmers, software engineers, research scholars, IT professionals, academicians, and postgraduate students seeking current research on the implementation of automation and deep learning in various engineering disciplines.

Автор: Rutkowski Tom
Название: Explainable Artificial Intelligence Based on Neuro-Fuzzy Modeling with Applications in Finance
ISBN: 3030755207 ISBN-13(EAN): 9783030755201
Издательство: Springer
Цена: 149060.00 T
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Описание: The book proposes techniques, with an emphasis on the financial sector, which will make recommendation systems both accurate and explainable. However, in many applications, e.g., medical diagnosis or venture capital investment recommendations, it is essential to explain the rationale behind AI systems decisions or recommendations.

Автор: Alonso Moral Jose Maria, Castiello Ciro, Magdalena Luis
Название: Explainable Fuzzy Systems: Paving the Way from Interpretable Fuzzy Systems to Explainable AI Systems
ISBN: 3030710971 ISBN-13(EAN): 9783030710972
Издательство: Springer
Цена: 158380.00 T
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Описание: Design of Explainable Fuzzy Systems (EXFS) is rooted in Interpretable Fuzzy Systems, which are thoroughly covered in the book. Finally, the book shows with practical examples how to design EXFS from interpretable fuzzy systems and natural language generation.

Автор: Majumder Mrinmoy, Kale Ganesh D.
Название: Water and Energy Management in India: Artificial Neural Networks and Multi-Criteria Decision Making Approaches
ISBN: 3030666824 ISBN-13(EAN): 9783030666828
Издательство: Springer
Цена: 121110.00 T
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Описание: This book provides an innovative, realistic and reliable solution to the common problem of Indian water and energy sector due to the onset of the Impact of Climate Change and Large-Scale Urbanization.

Автор: Vardan Mkrttchian, Ekaterina Aleshina, Leyla Gamid
Название: Avatar-Based Control, Estimation, Communications, and Development of Neuron Multi-Functional Technology Platforms
ISBN: 1799815811 ISBN-13(EAN): 9781799815815
Издательство: Mare Nostrum (Eurospan)
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Цена: 219910.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Competition in today's global market offers strong motivation for the development of sophisticated tools within computer science. The neuron multi-functional technology platform is a developing field of study that regards the various interactive approaches that can be applied within this subject matter. As advancing technologies continue to emerge, managers and researchers need a compilation of research that discusses the advancements and specific implementations of these intelligent approaches with this platform.

Avatar-Based Control, Estimation, Communications, and Development of Neuron Multi-Functional Technology Platforms is a pivotal reference source that provides vital research on the application of artificial and natural approaches towards neuron-based programs. While highlighting topics such as natural intelligence, neurolinguistics, and smart data storage, this publication presents techniques, case studies, and methodologies that combine the use of intelligent artificial and natural approaches with optimization techniques for facing problems and combines many types of hardware and software with a variety of communication technologies to enable the development of innovative applications. This book is ideally designed for researchers, practitioners, scientists, field experts, professors, and students seeking current research on the optimization of avatar-based advancements in multifaceted technology systems.

Автор: Vardan Mkrttchian, Ekaterina Aleshina, Leyla Gamidullaeva
Название: Avatar-Based Control, Estimation, Communications, and Development of Neuron Multi-Functional Technology Platforms
ISBN: 179981582X ISBN-13(EAN): 9781799815822
Издательство: Mare Nostrum (Eurospan)
Цена: 180180.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Competition in today's global market offers strong motivation for the development of sophisticated tools within computer science. The neuron multi-functional technology platform is a developing field of study that regards the various interactive approaches that can be applied within this subject matter. As advancing technologies continue to emerge, managers and researchers need a compilation of research that discusses the advancements and specific implementations of these intelligent approaches with this platform. Avatar-Based Control, Estimation, Communications, and Development of Neuron Multi-Functional Technology Platforms is a pivotal reference source that provides vital research on the application of artificial and natural approaches towards neuron-based programs. While highlighting topics such as natural intelligence, neurolinguistics, and smart data storage, this publication presents techniques, case studies, and methodologies that combine the use of intelligent artificial and natural approaches with optimization techniques for facing problems and combines many types of hardware and software with a variety of communication technologies to enable the development of innovative applications. This book is ideally designed for researchers, practitioners, scientists, field experts, professors, and students seeking current research on the optimization of avatar-based advancements in multifaceted technology systems.

Автор: Patricia Melin; Oscar Castillo; Janusz Kacprzyk
Название: Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization
ISBN: 331936961X ISBN-13(EAN): 9783319369617
Издательство: Springer
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Цена: 139310.00 T
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Описание: This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems.

Автор: Amezcua
Название: New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic
ISBN: 3319737724 ISBN-13(EAN): 9783319737720
Издательство: Springer
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Цена: 46570.00 T
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Описание: In this book a new model for data classification was developed. Some architectures were developed in order to work mainly with two datasets, an arrhythmia dataset (using ECG signals) for classifying 15 different types of arrhythmias, and a satellite images segments dataset used for classifying six different types of soil.