<p><P>Innovations in Intelligent Systems is a rare collection of the latest developments in intelligent paradigms such as knowledge-based systems, computational intelligence and hybrid combinations as well as practical applications in engineering, science, business and commerce. The book covers cent
Innovative Issues in Intelligent Systems
β Scribed by Vassil Sgurev, Ronald R. Yager, Janusz Kacprzyk, Vladimir Jotsov (eds.)
- Publisher
- Springer International Publishing
- Year
- 2016
- Tongue
- English
- Leaves
- 357
- Series
- Studies in Computational Intelligence 623
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book presents a broad variety of different contemporary IT methods and applications in Intelligent Systems is displayed. Every book chapter represents a detailed, specific, far reaching and original re-search in a respective scientific and practical field. However, all of the chapters share the common point of strong similarity in a sense of being innovative, applicable and mutually compatible with each other. In other words, the methods from the different chapters can be viewed as bricks for building the next generation βthinking machinesβ as well as for other futuristic logical applications that are rapidly changing our world nowadays.
β¦ Table of Contents
Front Matter....Pages i-x
Intelligent Systems in Industry....Pages 1-31
Prediction of the Attention Area in Ambient Intelligence Tasks....Pages 33-56
Integration of Knowledge Components in Hybrid Intelligent Control Systems....Pages 57-109
Learning Intelligent Controls in High Speed Networks: Synergies of Computational Intelligence with Control and Q-Learning Theories....Pages 111-139
Logical Operations and Inference in the Complex s-Logic....Pages 141-160
Generalized Nets as a Tool for the Modelling of Data Mining Processes....Pages 161-215
Induction of Modular Classification Rules by Information Entropy Based Rule Generation....Pages 217-230
Proposals for Knowledge Driven and Data Driven Applications in Security Systems....Pages 231-293
On Some Modal Type Intuitionistic Fuzzy Operators....Pages 295-304
Uncertain Switched Fuzzy Systems: A Robust Output Feedback Control Design....Pages 305-323
Multistep Modeling for Approximation and Classification by Use of RBF Network Models....Pages 325-353
β¦ Subjects
Computational Intelligence; Artificial Intelligence (incl. Robotics)
π SIMILAR VOLUMES
<p><P>Hybrid Artificial Intelligence Systems (HAIS) combines symbolic and sub-symbolic techniques to construct more robust and reliable problem solving models. This volume focused on "Hybrid Artificial Intelligence Systems" contains a collection of papers that were presented at the 2nd International
<p><P>Hybrid Artificial Intelligence Systems (HAIS) combines symbolic and sub-symbolic techniques to construct more robust and reliable problem solving models. This volume focused on "Hybrid Artificial Intelligence Systems" contains a collection of papers that were presented at the 2nd International
<p><p>This book aims to promote a sample of current theoretical and application oriented intelligent systems research specifically in the field of neural networks computing. It presents examples of experimental and real-world investigations that demonstrate contemporary achievements and advances in
This book represents the experience of successful researchers from four continents on a broad range of intelligent systems, and it hints how to avoid anticipated conflicts and problems during multidisciplinary innovative research from Industry 4.0 and/or Internet of Things through modern machine lea
This research monograph presents selected areas of applications in the field of control systems engineering using computational intelligence methodologies. A number of applications and case studies are introduced. These methodologies are increasing used in many applications of our daily lives. Appro