13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018, Rafik A. Aliev; Janusz Kacprzyk; Witold Pedrycz; M
Описание: This book presents the proceedings of the 10th Conference on Theory and Applications of Soft Computing, Computing with Words and Perceptions, ICSCCW 2019, held in Prague, Czech Republic, on August 27–28, 2019. It includes contributions from diverse areas of soft computing and computing with words, such as uncertain computation, decision-making under imperfect information, neuro-fuzzy approaches, deep learning, natural language processing, and others. The topics of the papers include theory and applications of soft computing, information granulation, computing with words, computing with perceptions, image processing with soft computing, probabilistic reasoning, intelligent control, machine learning, fuzzy logic in data analytics and data mining, evolutionary computing, chaotic systems, soft computing in business, economics and finance, fuzzy logic and soft computing in earth sciences, fuzzy logic and soft computing in engineering, fuzzy logic and soft computing in material sciences, soft computing in medicine, biomedical engineering, and pharmaceutical sciences. Showcasing new ideas in the field of theories of soft computing and computing with words and their applications in economics, business, industry, education, medicine, earth sciences, and other fields, it promotes the development and implementation of these paradigms in various real-world contexts. This book is a useful guide for academics, practitioners and graduates.
Описание: The main objective of ICSCTEA 2013 is to provide a platform for researchers, engineers and academicians from all over the world to present their research results and development activities in soft computing techniques and engineering application.
Автор: L. Padma Suresh; Bijaya Ketan Panigrahi Название: Proceedings of the International Conference on Soft Computing Systems ISBN: 8132226690 ISBN-13(EAN): 9788132226697 Издательство: Springer Рейтинг: Цена: 43100.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book is a collection of high-quality peer-reviewed research papers presented in International Conference on Soft Computing Systems (ICSCS 2015) held at Noorul Islam Centre for Higher Education, Chennai, India. These research papers provide the latest developments in the emerging areas of Soft Computing in Engineering and Technology.
Автор: L. Padma Suresh; Bijaya Ketan Panigrahi Название: Proceedings of the International Conference on Soft Computing Systems ISBN: 8132226720 ISBN-13(EAN): 9788132226727 Издательство: Springer Рейтинг: Цена: 32142.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book is a collection of high-quality peer-reviewed research papers presented in International Conference on Soft Computing Systems (ICSCS 2015) held at Noorul Islam Centre for Higher Education, Chennai, India. These research papers provide the latest developments in the emerging areas of Soft Computing in Engineering and Technology.
Описание: This book highlights recent research on Soft Computing, Pattern Recognition, Information Assurance and Security. It presents 38 selected papers from the 10th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2018) and the 14th International Conference on Information Assurance and Security (IAS 2018) held at Instituto Superior de Engenharia do Porto (ISEP), Portugal during December 13–15, 2018. SoCPaR – IAS 2018 is a premier conference and brings together researchers, engineers and practitioners whose work involves soft computing and information assurance and their applications in industry and the real world. Including contributions by authors from over 25 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.
Описание: The volume contains latest research work presented at International Conference on Computing and Communication Systems (I3CS 2016) held at North Eastern Hill University (NEHU), Shillong, India.
Описание: This volume comprises select papers from the International Conference on Microelectronics, Computing & Communication Systems(MCCS 2015). Electrical, Electronics, Computer, Communication and Information Technology and their applications in business, academic, industry and other allied areas. The main aim of this volume is to bring together content from international scientists, researchers, engineers from both academia and the industry. The contents of this volume will prove useful to researchers, professionals, and students alike.
Автор: Da Ruan Название: Fuzzy Systems and Soft Computing in Nuclear Engineering ISBN: 379081251X ISBN-13(EAN): 9783790812510 Издательство: Springer Рейтинг: Цена: 30606.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A collection of 21 contributed chapters covering nuclear engineering applications of fuzzy systems, neural networks, genetic algorithms and other soft computing techniques. The volume highlights the advantages of applying fuzzy systems and soft computing in nuclear engineering.
Автор: Da Ruan Название: Fuzzy Systems and Soft Computing in Nuclear Engineering ISBN: 3790824666 ISBN-13(EAN): 9783790824667 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a practical guide to applying soft-computing methods to interpret geophysical data. It discusses the design of neural networks with Matlab for geophysical data, as well as fuzzy logic and neuro-fuzzy concepts and their applications. In addition, it describes genetic algorithms for the automatic and/or intelligent processing and interpretation of geophysical data.
Описание: This book provides a practical guide to applying soft-computing methods to interpret geophysical data. It discusses the design of neural networks with Matlab for geophysical data, as well as fuzzy logic and neuro-fuzzy concepts and their applications. In addition, it describes genetic algorithms for the automatic and/or intelligent processing and interpretation of geophysical data.
Описание: Tweet Sentiment Classification Using an Ensemble of Machine Learning Supervised Classifiers Employing Statistical Feature Selection Methods.- Multiple Fuzzy Correlated Pattern Tree Mining using Minimum Item All-Confidence Thresholds.- Autonomous Visual Tracking with Extended Kalman Filter Estimator for Micro Aerial Vehicles.- Identification of Uncertain Mass and Stiffness Matrices of Multi-Storey Shear Buildings using Fuzzy Neural Network Modelling.- Fuzzy Approach to Rank Global Climate Models.- Comparative analysis of ANFIS and SVR Model performance for Rainfall Prediction.- Cross Domain Sentiment Analysis using different Machine Learning Techniques.- Combining ELM with Random Projections for Low and High Dimensional Data Classification and Clustering.- Framework for knowledge driven optimisation based data encoding for brain data modelling using spiking neural network architecture.- Short Circuit Evaluations in Gцdel Type Logic.- Coefficient of Variation based Decision Tree for Fuzzy Classification.- Predicting protein coding regions by six-base nucleotide distribution.- Ontology for Education System and Ontology based Clustering.- Neural Networks for Fast Estimation of Social Network Centrality Measures.- Scale-free memory to swiftly generate fuzzy future predictions.- Assessment of Vaccination Strategies using Fuzzy Multi-Criteria Decision Making.- Ranking and Dimensionality Reduction using Biclustering.- Effect of Fractional Order in Pole Motion.- Sewage Water Quality Index of Sewage Treatment Plant using Fuzzy MCDM Approach.- Fuzzy Formal Concept Analysis approach for Information Retrieval.- Privacy Preserving Collaborative Clustering using SOM for Horizontal Data Distribution.- A Hybrid Approach to Classification of Categorical Data based on Information-Theoretic Context Selection.- Robust Stabilization of Uncertain T-S fuzzy systems: An Integral Error Dependant Sliding Surface Design Approach.- Extreme learning machine for eukaryotic and prokaryotic promoter prediction.- A hybrid approach to the maximum clique problem in the domain of information management.- An Integrated Network Behavior and Policy based data exfiltration detection framework.- Web Usages Mining in automatic detection of Learning Style in Personalized e-Learning System.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
