الصفحة 41
الصفحة 41
Computational intelligence for engineering and manufacturing
Unlike traditional computing, Computational Intelligence is tolerant of imprecise information, partial truth and uncertainty. This book presents a collection of contributions on a focused treatment of important elements of CI, centred on its key element: learning.
Computational intelligence for agent-based systems
In these last years the digital technology explosion has spawned so many new lifestyle models that the boundaries between "real" and "digital" are fiercely debated. This scenario has deeply changed the viewpoint about computer applications: computers become smaller, cheapest and hugely distributed in wired or unwired networks, applications become so flexible and intelligent as to tailor its communication facilities in order to increase the usability of the system. Such data-intensive, unstructured spaces featured by minimal or no centralized control flow, present a challenge for traditional methods of analysis, design and integration of advanced, distributed and intelligent computer systems. Within this challenge, an important role is played by two important research areas : Fuzzy Technology, thanks to its ability to exploit the tolerance for imprecision to achieve tractability and Agent Technology, thanks to its nature to employ agent-wise communities to carry out complex goals by means of smart interaction, cooperation, and pro-activeness.
Computational intelligence based on lattice theory
The emergence of lattice theory within the field of computational intelligence (CI) is partially due to its proven effectiveness in neural computation. Moreover, lattice theory has the potential to unify a number of diverse concepts and aid in the cross-fertilization of both tools and ideas within the numerous subfields of CI. The compilation of this eighteen-chapter book is an initiative towards proliferating established knowledge in the hope to further expand it. This edited book is a balanced synthesis of four parts emphasizing, in turn, neural computation, mathematical morphology, machine learning, and (fuzzy) inference/logic. The articles here demonstrate how lattice theory may suggest viable alternatives in practical clustering, classification, pattern analysis, and regression applications.
Computational intelligence and security ; Vol.3802 ; International Conference, CIS 2005, Xi'an, China, December 15-19, 2005, Proceedings, Part II
The two volume set LNAI 3801 and LNAI 3802 constitute the refereed proceedings of the annual International Conference on Computational Intelligence and Security, CIS 2005, held in Xi'an, China, in December 2005. The 338 revised papers presented - 254 regular and 84 extended papers - were carefully reviewed and selected from over 1800 submissions. The second volume is subdivided in topical sections on cryptography and coding, cryptographic protocols, intrusion detection, security models and architecture, security management, watermarking and information hiding, web and network applications, image and signal processing, and applications.
Computational intelligence and security ; Vol. 3801 ; International Conference, CIS 2005, Xi'an, China, December 15-19, 2005, Proceedings, Part I
The two volume set LNAI 3801 and LNAI 3802 constitute the refereed proceedings of the annual International Conference on Computational Intelligence and Security, CIS 2005, held in Xi'an, China, in December 2005. The 338 revised papers presented - 254 regular and 84 extended papers - were carefully reviewed and selected from over 1800 submissions. The first volume is organized in topical sections on learning and fuzzy systems, evolutionary computation, intelligent agents and systems, intelligent information retrieval, support vector machines, swarm intelligence, data mining, pattern recognition, and applications.
Computational intelligence and security ; International Conference, CIS 2006, Guangzhou, China, November 3-6, 2006, Revised selected papers
It covers bio-inspired computing, evolutionary computation, learning systems and multi-agents, cryptography, information processing and intrusion detection, systems and security, image and signal processing, and pattern recognition.
Computational intelligence and bioinspired systems ; 8th International Work-conference on artificial neural networks, IWANN 2005, Vilanova i la Geltrú, Barcelona, Spain, June 8-10, 2005, Proceedings
We present in this volume the collection of finally accepted papers of the eighth edition of the “IWANN” conference (“International Work-Conference on Artificial Neural Networks”). This biennial meeting focuses on the foundations, theory, models and applications of systems inspired by nature (neural networks, fuzzy logic and evolutionary systems). For scientists, engineers and professionals working in the area, this is a very good way to get solid and competitive applications. We are facing a real revolution with the emergence of embedded intelligence in many artificial systems (systems covering diverse fields: industry, domotics, leisure, healthcare, … ). So we are convinced that an enormous amount of work must be, and should be, still done. Many pieces of the puzzle must be built and placed into their proper positions, offering us new and solid theories and models (necessary tools) for the application and praxis of these current paradigms. The above-mentioned concepts were the main reason for the subtitle of the IWANN 2005 edition: “Computational Intelligence and Bioinspired Systems.” papers was addressing the following topics: 1. Mathematical and theoretical methods in computational intelligence.
Computational intelligence and bioinformatics ; International conference on intelligent computing, ICIC 2006, Kunming, China, August 16-19, 2006, Proceedings, Part III
The International Conference on Intelligent Computing (ICIC) was formed to provide an annual forum dedicated to the emerging and challenging topics in artificial intelligence, machine learning, bioinformatics, and computational biology, etc. It aims to bring together researchers and practitioners from both academia and industry to share ideas, problems and solutions related to the multifaceted aspects of intelligent computing.the theme for this conference was “Emerging Intelligent Computing Technology and Applications”. Papers related to this theme were especially solicited, including theories, methodologies, and applications in science and technology.
Computational intelligence ; Vol. 4114 ; International conference on intelligent computing, ICIC 2006, Kunming, China, August 16-19, 2006, Proceedings, Part II
The International Conference on Intelligent Computing (ICIC) was formed to provide an annual forum dedicated to the emerging and challenging topics in artificial intelligence, machine learning, bioinformatics, and computational biology, etc. It aims to bring together researchers and practitioners from both academia and industry to share ideas, problems and solutions related to the multifaceted aspects of intelligent computing.
Computational intelligence ; Vol. 174 : Engineering of hybrid systems
Hybrid Intelligent Systems has become an important research topic in computer science and a key application field in science and engineering. This book offers a gentle introduction to the engineering aspects of hybrid intelligent systems, also emphasizing the interrelation with the main intelligent technologies such as genetic algorithms? evolutionary computation, neural networks, fuzzy systems, evolvable hardware, DNA computing, artificial immune systems. A unitary whole of theory and application, the book provides readers with the fundamentals, background information, and practical methods.
Computational intelligence : Research Frontiers : IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, China, June 1-6, 2008, Plenary/Invited Lectures
The book presents the expertise and experiences of leading researchers spanning a diverse spectrum of computational intelligence in the areas of neurocomputing, fuzzy systems, evolutionary computation, and adjacent areas.
Computational intelligence : Principles, techniques and applications
The book Computational Intelligence: Principles, Techniques and Applications presents both theories and applications of Computational Intelligence in a clear, precise and highly comprehensive style. The textbook addresses the fundamental aspects of Fuzzy Sets and Logic, Neural Networks, Evolutionary Computing and Belief Networks. The application areas include Fuzzy Databases, Fuzzy Control, Image Understanding, Expert Systems, Object Recognition, Criminal Investigation, Telecommunication Networks and Intelligent Robots. The book contains many numerical examples and homework problems with sufficient hints so that the students can solve them on their own. Emerging areas of Computational Intelligence such as artificial life, particle swarm optimization, artificial immune systems, fuzzy chaos theory, rough sets and granular computing have also been addressed with examples in this book. The book ends with a discussion on a number of open- ended research problems in Computational Intelligence. Graduate students interested to pursue their research in this subject will greatly be benefited with these problems.
Computational intelligence : Methods and techniques
This book focuses on various techniques of computational intelligence, both single ones and those which form hybrid methods. Those techniques are today commonly applied issues of artificial intelligence, e.g. to process speech and natural language, build expert systems and robots.
Computational intelligence : A compendium
Computational Intelligence paradigms have proven effective on real-world problems in virtually all disciplines including Science, Engineering, Business, healthcare, Management and Avionics. This handbook includes contributions from the leading international experts in their respective fields. There are twenty five chapters grouped in the following ten parts covering theoretical aspects and practical applications.
Computational formalism : Art history and machine learning
"Computational Formalism investigates examples of art historical analysis in the fields of computer and information sciences, and frames this research in the context of art historiography. The use of machine learning to analyze art images has ushered in a renewed interest in formalism in art history, but these new techniques create new critical challenges for the field"
Computational drug discovery and design
Provides new and updated methods and techniques for identification of drug target, binding sites prediction, high- throughput virtual screening, lead discovery and optimization, conformational sampling, prediction of pharmacokinetic properties using computer-based methodologies. Chapters also focus on the application of the latest artificial intelligence technologies for computer aided drug discovery.
Computational drug discovery : methods and application
Covers a wide range of cutting-edge computational technologies and computational chemistry methods that are transforming drug discovery. The book delves into recent advances, particularly focusing on artificial intelligence (AI) and its application for protein structure prediction, AI-enabled virtual screening, and generative modeling for compound design. Additionally, it covers key technological advancements in computing such as quantum and cloud computing that are driving innovations in drug discovery.
Computational Collective Intelligence ; 12th International Conference, ICCCI 2020, Da Nang, Vietnam, November 30 – December 3, 2020, Proceedings
This volume constitutes the refereed proceedings of the 12th International Conference on Computational Collective Intelligence, ICCCI 2020, held in Da Nang, Vietnam, in November 2020.* The 70 full papers presented were carefully reviewed and selected from 314 submissions. The papers are grouped in topical sections on: knowledge engineering and semantic web; social networks and recommender systems; collective decision-making; applications of collective intelligence; data mining methods and applications; machine learning methods; deep learning and applications for industry 4.0; computer vision techniques; biosensors and biometric techniques; innovations in intelligent systems; natural language processing; low resource languages processing; computational collective intelligence and natural language processing; computational intelligence for multimedia understanding; and intelligent processing of multimedia in web systems.
Collaborative Product Design and Manufacturing Methodologies and Applications
Collaborative Product Design and Manufacturing Methodologies and Applications is an introduction to a wide spectrum of collaborative engineering issues in design and manufacturing. It contains state-of-the-art chapters written by international experts from academia and industry and reflects the most up-to-date R&D work and applications, especially those from the last three to five years. Collaborative Product Design and Manufacturing Methodologies and Applications is an essential reference for academics, upper-level undergraduate and graduate students and practitioners specialising in collaborative design and manufacturing issues, concurrent engineering, Internet-based/intelligent design and manufacturing, CAD/PDM/CAPP/CAM, Internet applications, product lifecycle management, supply chain, etc.
Collaborative Engineering: Theory and Practice
Collaborative Engineering: Theory and Practice offers insights into the methods and techniques involved in implementing a systematic approach to the integrated, concurrent design of products and related processes, including manufacturing, product service and support. The approach discussed here will help developers consider all elements of the product life cycle from conception through disposal, including quality, cost, schedule, and user requirements.
