Humans are remarkable in processing speech, audio, image and some biomedical signals. Artificial neural networks are proved to be successful in performing several cognitive, industrial and scientific tasks. This peer ...
ISBN:
(数字)9783540753988
ISBN:
(纸本)9783540753971
Humans are remarkable in processing speech, audio, image and some biomedical signals. Artificial neural networks are proved to be successful in performing several cognitive, industrial and scientific tasks. This peer reviewed book presents some recent advances and surveys on the applications of artificial neural networks in the areas of speech, audio, image and biomedical signal processing. It consists of 18 chapters prepared by some reputed researchers and practitioners around the globe.
The book is organized in four major areas. The first unit focuses on the terrorism informatics and data mining. The second unit discusses the intelligence and crime analysis. The third unit covers access control, infr...
ISBN:
(数字)9783540692096
ISBN:
(纸本)9783540692072
The book is organized in four major areas. The first unit focuses on the terrorism informatics and data mining. The second unit discusses the intelligence and crime analysis. The third unit covers access control, infrastructure protection, and privacy. The fourth unit presents surveillance and emergency response. Readers will find the book valuable and useful in their study or work, especially the ISI community. The researchers and practitioners in this community will continue to grow and share research findings to contribute to national safety around the world.
Bioinformatics involve the creation and advancement of algorithms using techniques including computationalintelligence, applied mathematics and statistics, informatics, and biochemistry to solve biological problems u...
ISBN:
(数字)9783540768036
ISBN:
(纸本)9783540768029
Bioinformatics involve the creation and advancement of algorithms using techniques including computationalintelligence, applied mathematics and statistics, informatics, and biochemistry to solve biological problems usually on the molecular level. Major research efforts in the field include sequence analysis, gene finding, genome annotation, protein structure alignment analysis and prediction, prediction of gene expression, protein-protein docking/interactions, and the modeling of evolution. This book deals with the application of computationalintelligence in bioinformatics. Addressing the various issues of bioinformatics using different computationalintelligence approaches is the novelty of this edited volume.
Natural Computing in computational Finance is a innovative volume containing fifteen chapters which illustrate cutting-edge applications of natural computing or agent-based modeling in modern computational finance. Fo...
ISBN:
(数字)9783540774778
ISBN:
(纸本)9783540774761
Natural Computing in computational Finance is a innovative volume containing fifteen chapters which illustrate cutting-edge applications of natural computing or agent-based modeling in modern computational finance. Following an introductory chapter the book is organized into three sections. The first section deals with optimization applications of natural computing demonstrating the application of a broad range of algorithms including, genetic algorithms, differential evolution, evolution strategies, quantum-inspired evolutionary algorithms and bacterial foraging algorithms to multiple financial applications including portfolio optimization, fund allocation and asset pricing. The second section explores the use of natural computing methodologies such as genetic programming, neural network hybrids and fuzzy-evolutionary hybrids for model induction in order to construct market trading, credit scoring and market prediction systems. The final section illustrates a range of agent-based applications includin g the modeling of payment card and financial markets. Each chapter provides an introduction to the relevant natural computing methodology as well as providing a clear description of the financial application addressed. The book was written to be accessible to a wide audience and should be of interest to practitioners, academics and students, in the fields of both natural computing and finance.
The field of intelligence technologies covers a variety of computational approaches that are often suggested and inspired by biological systems, exhibiting functional richness and flexibility of natural behavior. This...
ISBN:
(数字)9783540793557
ISBN:
(纸本)9783540793540
The field of intelligence technologies covers a variety of computational approaches that are often suggested and inspired by biological systems, exhibiting functional richness and flexibility of natural behavior. This class of technologies consists of such important approaches as data mining algorithms, neural networks, genetic algorithms, fuzzy and multi-valued logics, rough sets, agent-oriented computation, often integrated into complex hybrid solutions. Applied intelligence technologies are used to build machines that can act and think like living systems, solve problems in an autonomous way, develop rich private knowledge bases and produce results not foreseen and programmed in a direct way by designers. This book includes 37 chapters which discuss examples of applications of intelligence technologies to five fields, reflecting main streams of practical and scientific interest of computer related community: agent and multi-agent systems; personal assistants and recom mender systems; knowledge modelin g and processing; optimization and combinatorial problems; computer and telecommunication systems.
Biological and natural processes have been a continuous source of inspiration for the sciences and engineering. For instance, the work of Wiener in cybernetics was influenced by feedback control processes observable i...
ISBN:
(数字)9783540789871
ISBN:
(纸本)9783540789864
Biological and natural processes have been a continuous source of inspiration for the sciences and engineering. For instance, the work of Wiener in cybernetics was influenced by feedback control processes observable in biological systems; McCulloch and Pitts description of the artificial neuron was instigated by biological observations of neural mechanisms; the idea of survival of the fittest inspired the field of evolutionary algorithms and similarly, artificial immune systems, ant colony optimisation, automated self-assembling programming, membrane computing, etc. also have their roots in natural phenomena. The second International Workshop on Nature Inspired Cooperative Strategies for Optimization (NICSO), was held in Acireale, Italy, during November 8-10, 2007. The aim for NICSO 2007 was to provide a forum were the latest ideas and state of the art research related to cooperative strategies for problem solving arising from Nature could be discussed. The contributions collected in this book were stric tly peer reviewed by at least three members of the international programme committee, to whom we are indebted for their support and assistance. The topics covered by the contributions include several well established nature inspired techniques like Genetic Algorithms, Ant Colonies, Artificial Immune Systems, Evolutionary Robotics, Evolvable Systems, Membrane Computing, Quantum Computing, Software Self Assembly, Swarm intelligence, etc.
The primary goal of this book is the specification, design and testing of an inertially stabilized camera platform for assistance systems with the focus on adaptive inertial measurement. This can be divided into the f...
ISBN:
(数字)9783540769972
ISBN:
(纸本)9783540769965
The primary goal of this book is the specification, design and testing of an inertially stabilized camera platform for assistance systems with the focus on adaptive inertial measurement. This can be divided into the following sub-goals which also served as internal milestones for the project; development of a highly miniaturized inertial measurement unit, development of adaptive control algorithms for gaze stabilization, industrial application and development of multi-sensor fusion algorithms.
This research book presents a conceptual model for Holonic Manufacturing Execution that draws together research threads from both holonics and multi-agent systems. In holonics, we found the notion of a holon as an ent...
ISBN:
(数字)9783540774792
ISBN:
(纸本)9783540774785
This research book presents a conceptual model for Holonic Manufacturing Execution that draws together research threads from both holonics and multi-agent systems. In holonics, we found the notion of a holon as an entity being both a whole in itself and part of a larger system, and in multi-agent systems, we found the modelling approach of expressing software behaviour in terms of Beliefs, Desires and Intentions. The conceptual model brings focus to the execution facet of Holonic Manufacturing, and forms a bridge between the areas of planning / scheduling and control; the areas of predominant concerns in the past decade of active research on Holonic Manufacturing. We present the model by mapping it onto two current BDI programming frameworks, and use this for two separate implementations of an execution systems for an industrial strength robotic assembly cell. This work also introduces the Team Programming paradigm, which is something of interest to the wider complex systems community as a new paradigm f or complex systems development.
What is computationalintelligence (CI)? Traditionally, CI is understood as a collection of methods from the fields of neural networks (NN), fuzzy logic and evolutionary computation. This edited volume is the first of...
ISBN:
(数字)9783540792574
ISBN:
(纸本)9783540792567
What is computationalintelligence (CI)? Traditionally, CI is understood as a collection of methods from the fields of neural networks (NN), fuzzy logic and evolutionary computation. This edited volume is the first of its kind, suitable to automotive researchers, engineers and students. It provides a representative sample of contemporary CI activities in the area of automotive technology. The volume consists of 13 chapters, including but not limited to these topics: vehicle diagnostics and vehicle system safety, control of vehicular systems, quality control of automotive processes, driver state estimation, safety of pedestrians, intelligent vehicles. All chapters contain overviews of state of the art, and several chapters illustrate their methodologies on examples of real-world systems. About the Editor: Danil Prokhorov began his technical career in St. Petersburg, Russia, after graduating with Honors from Saint Petersburg State University of Aerospace Instrumentation in 1992 (MS in Robotics). He work ed as a research engineer in St. Petersburg Institute for Informatics and Automation, one of the institutes of the Russian Academy of Sciences. He came to the US in late 1993 for Ph.D. studies. He became involved in automotive research in 1995 when he was a Summer intern at Ford Scientific Research Lab in Dearborn, MI. Upon his graduation from the EE Department of Texas Tech University, Lubbock, in 1997, he joined Ford to pursue application-driven research on neural networks and other machine learning algorithms. While at Ford, he took part in several production-bound projects including neural network based engine misfire detection. Since 2005 he is with Toyota Technical Center, Ann Arbor, MI, overseeing important mid- and long-term research projects in computationalintelligence.
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