Lecture Notes in Computational Intelligence and Decision Making: 2020 International Scientific Conference "Intellectual Systems of Decision-Making and, Babichev Sergii, Lytvynenko Volodymyr, Wуjcik Waldemar
Автор: Alena V. Favorskaya; Igor B. Petrov Название: Innovations in Wave Processes Modelling and Decision Making ISBN: 3319892894 ISBN-13(EAN): 9783319892894 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents methods for full-wave computer simulation that can be used in various applications and contexts, e.g. seismic prospecting, earthquake stability, global seismic patterns on Earth and Mars, medicine, traumatology, ultrasound investigation of the human body, ultrasound and laser operations, ultrasonic non-destructive railway testing, modelling aircraft composites, modelling composite material delamination, etc. The key innovation of this approach is the ability to study spatial dynamical wave processes, which is made possible by cutting-edge numerical finite-difference grid-characteristic methods.The book will benefit all students, researchers, practitioners and professors interested in numerical mathematics, computer science, computer simulation, high-performance computer systems, unstructured meshes, interpolation, seismic prospecting, geophysics, medicine, non-destructive testing and composite materials.
Causality has been a subject of study for a long time. Often causality is confused with correlation. Human intuition has evolved such that it has learned to identify causality through correlation. In this book, four main themes are considered and these are causality, correlation, artificial intelligence and decision making. A correlation machine is defined and built using multi-layer perceptron network, principal component analysis, Gaussian Mixture models, genetic algorithms, expectation maximization technique, simulated annealing and particle swarm optimization. Furthermore, a causal machine is defined and built using multi-layer perceptron, radial basis function, Bayesian statistics and Hybrid Monte Carlo methods. Both these machines are used to build a Granger non-linear causality model. In addition, the Neyman-Rubin, Pearl and Granger causal models are studied and are unified. The automatic relevance determination is also applied to extend Granger causality framework to the non-linear domain. The concept of rational decision making is studied, and the theory of flexibly-bounded rationality is used to extend the theory of bounded rationality within the principle of the indivisibility of rationality. The theory of the marginalization of irrationality for decision making is also introduced to deal with satisficing within irrational conditions. The methods proposed are applied in biomedical engineering, condition monitoring and for modelling interstate conflict.
Описание: This book offers the first comprehensive overview of artificial intelligence (AI) technologies in decision support systems for diagnosis based on medical images, presenting cutting-edge insights from thirteen leading research groups around the world. Medical imaging offers essential information on patients’ medical condition, and clues to causes of their symptoms and diseases. Modern imaging modalities, however, also produce a large number of images that physicians have to accurately interpret. This can lead to an “information overload” for physicians, and can complicate their decision-making. As such, intelligent decision support systems have become a vital element in medical-image-based diagnosis and treatment. Presenting extensive information on this growing field of AI, the book offers a valuable reference guide for professors, students, researchers and professionals who want to learn about the most recent developments and advances in the field.
Описание: This book applies computational intelligence and soft computing techniques to Cyber Physical Systems, where physical and communication segments of networked entities interact. Discusses how to ensure dependability, safety, security and efficiency in real time.
Описание: FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to Computational Intelligence for applied research.
Описание: The book focuses on a set of cutting-edge research techniques, highlighting the potential of soft computing tools in the analysis of economic and financial phenomena and in providing support for the decision-making process.
Автор: Ana Madureira; Cecilia Reis; Viriato Marques Название: Computational Intelligence and Decision Making ISBN: 9401783160 ISBN-13(EAN): 9789401783163 Издательство: Springer Рейтинг: Цена: 25853.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Preface
1 The Process of Industrial Bioethanol Production Explained by Self-Organised Maps; Miguel A. Sanz-Bobi, Pablo Ruiz, and Julio Montes
2 Towards a Further Understanding of the Robotic Darwinian PSO; Micael S. Couceiro, Fernando M.L. Martins, Filipe Clemente, Rui P. Rocha, and Nuno M.F. Ferreira
3 A Comparison Study Between Two Hyperspectral Clustering Methods: KFCM and PSO-FCM; Amin Alizadeh Naeini, Saeid Niazmardi, Shahin Rahmatollahi Namin, Farhad Samadzadegan, and Saeid Homayouni
4 Comparison of Classification Methods for Golf Putting Performance Analysis; J. Miguel A. Luz, Micael S. Couceiro, David Portugal, Rui P. Rocha, Hйlder Araъjo, and Gonзalo Dias
5 Switched Unfalsified Multicontroller Nonparametric Model Based Design; Fernando Coito, Luнs Brito Palma, and Fernando Costa
6 Evolving Fuzzy Uncalibrated Visual Servoing for Mobile Robots; P.J.S. Gonзalves, P.J.F. Lopes, P.M.B. Torres, and J.M.R. Sequeira
7 Evaluating the Potential of Particle Swarm Optimization for Hyperspectral Image Clustering in Minimum Noise Fraction Feature Space; Shahin Rahmatollahi Namin, Amin Alizadeh Naeini, and Farhad Samadzadegan
8 On a Ball's Trajectory Model for Putting's Evaluation; Gonзalo Dias, Rui Mendes, Micael S. Couceiro, Carlos M. Figueiredo, and J. Miguel A. Luz
9 Efficient Discriminative Models for Proteomics with Simple and Optimized Features; Lionel Morgado, Carlos Pereira, Paula Verнssimo, and Antуnio Dourado
10 Meta-heuristics Self-Parameterization in a Multi-Agent Scheduling System Using Case-Based Reasoning; Ivo Pereira, Ana Madureira, and Paulo de Moura Oliveira
11 Haptic-Based Robot Teleoperation: Interacting with Real Environments; Pedro Neto, Nйlio Mourato and J. Norberto Pires
12 Multi-Agent Predictive Control with Application in Intelligent Infrastructures; J.M. Igreja, S.J. Costa, J.M. Lemos, and F.M. Cadete
13 Single-Objective Spreading Algorithm; E. J. Solteiro Pires, Luнs Mendes, Antуnio M. Lopes, P. B. de Moura Oliveira, and J. A. Tenreiro Machado
14 Fault Tolerant Control Based on Adaptive LQG and Fuzzy Controllers; Carla Viveiros, Luis Brito Palma and Josй Manuel Igreja
15 P2P Web Service Based System for Supporting Decision-Making in Cellular Manufacturing Scheduling; Maria Leonilde R. Varela, Rui Barbosa, and Susana Costa
16 Web-Based Decision Support System for Orders Planning; Antуnio Arrais-Castro, Maria Leonilde R. Varela, and Sнlvio Carmo-Silva
17 Product Documentation Management Through REST-based Web Service; Filipe Rocha, Maria Leonilde R. Varela, and Sнlvio Carmo-Silva
18 Fuzzy Web Platform for Electrical Energy Losses Management; Gaspar Gonзalves Vieira, Maria Leonilde R. Varela, and Rita A. Ribeiro
19 Web System for Supporting Project Management; Cбtia Filipa Veiga Alves, Andrй Filipe Nogueira da Silva, and Maria Leonilde R. Varela
20 Generation Capacity Expansion Planning In Restructured Electricity Markets Using Genetic Algorithms; Adelino J. C. Pereira, and Joгo Tomй Saraiva
21 Decision Making in Maintainability of High Risk Industrial Equipment; Josй Sobral and Luis Ferreira
22 The Classification Platform Applied to Mammographic Images; P.J.S. Gonзalves
23 On an Optimization Model for Approximate Nonnegative Matrix Factorization; Ana Maria de Almeida
24 Random Walks in Electric Networks; D.M.L.D.Rasteiro
25 Business Intelligence Tools; Jorge Bernardino, and Marco Tereso
26 Food Service Management Web Platform based on XML Specification and Web Services; Pedro Sabioni, Vinнcius Carneiro, and Maria Leonilde R. Varela
27 Differential Evolution on the Minimization of Thermal Residual Stresses in Functional
Описание: The book focuses on a set of cutting-edge research techniques, highlighting the potential of soft computing tools in the analysis of economic and financial phenomena and in providing support for the decision-making process.
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) Рейтинг: Цена: 32987.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: 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) Рейтинг: Цена: 24948.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Описание: It presents that potential effects of each independent variable on the dependent variable are not limited to direct and indirect effects. The path analysis shows each independent variable has a pure effect on the dependent variable. So, it can be shown the unique contribution of each independent variable to the variation of the dependent variable.
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