Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach
Author: José Mira
Publisher: Springer
Published: 2005-06-09
Total Pages: 659
ISBN-13: 3540316736
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Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach
Author: José Mira
Publisher: Springer
Published: 2005-06-13
Total Pages: 638
ISBN-13: 9783540263197
DOWNLOAD EBOOK →The two-volume set LNCS 3561 and LNCS 3562 constitute the refereed proceedings of the First International Work-Conference on the Interplay between Natural and Artificial Computation, IWINAC 2005, held in Las Palmas, Canary Islands, Spain in June 2005. The 118 revised papers presented are thematically divided into two volumes; the first includes all the contributions mainly related with the methodological, conceptual, formal, and experimental developments in the fields of Neurophysiology and cognitive science. The second volume collects the papers related with bioinspired programming strategies and all the contributions related with the computational solutions to engineering problems in different application domains.
First International Work-Conference on the Interplay Between Natural and Artificial Computation: Mechanisms, symbols and models underlying cognition
Bioinspired Applications in Artificial and Natural Computation
Author: Jose Mira
Publisher: Springer
Published: 2009-06-18
Total Pages: 551
ISBN-13: 3642022677
DOWNLOAD EBOOK →The two-volume set LNCS 5601 and LNCS 5602 constitutes the refereed proceedings of the Third International Work-Conference on the Interplay between Natural and Artificial Computation, IWINAC 2009, held in Santiago de Compostela, Spain, in June 2009. The 108 revised papers presented are thematically divided into two volumes. The first volume includes papers relating the most recent collaborations with Professor Mira and contributions mainly related with theoretical, conceptual and methodological aspects linking AI and knowledge engineering with neurophysiology, clinics and cognition. The second volume contains all the contributions connected with biologically inspired methods and techniques for solving AI and knowledge engineering problems in different application domains.
Arfiticial Intelligence and Knowledge Engineering Applications
Arfiticial Intelligence and Knowledge Engineering Applications
Swarm Intelligence and Bio-Inspired Computation
Author: Xin-She Yang
Publisher: Newnes
Published: 2013-05-16
Total Pages: 445
ISBN-13: 0124051774
DOWNLOAD EBOOK →Swarm Intelligence and bio-inspired computation have become increasing popular in the last two decades. Bio-inspired algorithms such as ant colony algorithms, bat algorithms, bee algorithms, firefly algorithms, cuckoo search and particle swarm optimization have been applied in almost every area of science and engineering with a dramatic increase of number of relevant publications. This book reviews the latest developments in swarm intelligence and bio-inspired computation from both the theory and application side, providing a complete resource that analyzes and discusses the latest and future trends in research directions. It can help new researchers to carry out timely research and inspire readers to develop new algorithms. With its impressive breadth and depth, this book will be useful for advanced undergraduate students, PhD students and lecturers in computer science, engineering and science as well as researchers and engineers. Focuses on the introduction and analysis of key algorithms Includes case studies for real-world applications Contains a balance of theory and applications, so readers who are interested in either algorithm or applications will all benefit from this timely book.
Swarm Intelligence and Bio-Inspired Computation
Author: Jonas Krause
Publisher: Elsevier Inc. Chapters
Published: 2013-05-16
Total Pages: 32
ISBN-13: 0128068930
DOWNLOAD EBOOK →Most swarm intelligence algorithms were devised for continuous optimization problems. However, they have been adapted for discrete optimization as well with applications in different domains. This survey aims at providing an updated review of research of swarm intelligence algorithms for discrete optimization problems, comprising combinatorial or binary. The biological inspiration that motivated the creation of each swarm algorithm is introduced, and later, the discretization and encoding methods are used to adapt each algorithm for discrete problems. Methods are compared for different classes of problems and a critical analysis is provided, pointing to future trends.
Artificial Intelligence Supported Power Quality Prediction and Mitigation
Author: Adrian Eisenmann
Publisher: BoD – Books on Demand
Published: 2023-12
Total Pages: 196
ISBN-13: 3756812332
DOWNLOAD EBOOK →This thesis introduces a fully data driven approach for the prediction and optimization of critical electrical grid states due to poor power quality. Therefore, a nonvolatile memory model for time series forecasting, designed to profit especially from big data bases and complex pattern use cases as well as an Artificial Intelligence based Smart Demand Side Management framework to enable system inherent resources / components for minimization of harmonic disturbances is applied to measured power grid scenarios.
Knowledge Engineering, Machine Learning and Lattice Computing with Applications
Author: Manuel Grana
Publisher: Springer
Published: 2013-03-20
Total Pages: 214
ISBN-13: 3642373437
DOWNLOAD EBOOK →This book constitutes the refereed proceedings of the 16th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2012, held in San Sebastian, Spain, in September 2012. The 20 revised full papers presented were carefully reviewed and selected from 130 submissions. The papers are organized in topical sections on bioinspired and machine learning methods, machine learning applications, semantics and ontology based techniques, and lattice computing and games.
