Quantum Inspired Computational Intelligence

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  • Publisher : Morgan Kaufmann
  • Release : 20 September 2016
  • ISBN : 9780128044377
  • Page : 506 pages
  • Rating : 4.5/5 from 103 voters

Quantum Inspired Computational Intelligence Book PDF summary

Quantum Inspired Computational Intelligence: Research and Applications explores the latest quantum computational intelligence approaches, initiatives, and applications in computing, engineering, science, and business. The book explores this emerging field of research that applies principles of quantum mechanics to develop more efficient and robust intelligent systems. Conventional computational intelligence—or soft computing—is conjoined with quantum computing to achieve this objective. The models covered can be applied to any endeavor which handles complex and meaningful information. Brings together quantum computing with computational intelligence to achieve enhanced performance and robust solutions Includes numerous case studies, tools, and technologies to apply the concepts to real world practice Provides the missing link between the research and practice

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Quantum Inspired Computational Intelligence

Quantum Inspired Computational Intelligence
  • Author : Siddhartha Bhattacharyya,Ujjwal Maulik,Paramartha Dutta
  • Publisher : Morgan Kaufmann
  • Release Date : 2016-09-20
  • ISBN : 9780128044377
DOWNLOAD BOOKQuantum Inspired Computational Intelligence

Quantum Inspired Computational Intelligence: Research and Applications explores the latest quantum computational intelligence approaches, initiatives, and applications in computing, engineering, science, and business. The book explores this emerging field of research that applies principles of quantum mechanics to develop more efficient and robust intelligent systems. Conventional computational intelligence—or soft computing—is conjoined with quantum computing to achieve this objective. The models covered can be applied to any endeavor which handles complex and meaningful information. Brings together quantum computing with

Quantum Inspired Intelligent Systems

Quantum Inspired Intelligent Systems
  • Author : Leandro dos Santos Coelho
  • Publisher : Springer Science & Business Media
  • Release Date : 2008-05-29
  • ISBN : 9783540785316
DOWNLOAD BOOKQuantum Inspired Intelligent Systems

Research on applying principles of quantum computing to improve the engineering of intelligent systems has been launched since late 1990s. This emergent research field concentrates on studying on quantum computing that is characterized by certain principles of quantum mechanics such as standing waves, interference, quantum bits, coherence, superposition of states, and concept of interference, combined with computational intelligence or soft computing approaches, such as artificial neural networks, fuzzy systems, evolutionary computing, swarm intelligence and hybrid soft computing methods. This volume

Quantum Inspired Computational Intelligence

Quantum Inspired Computational Intelligence
  • Author : Siddhartha Bhattacharyya,Ujjwal Maulik,Paramartha Dutta
  • Publisher : Morgan Kaufmann
  • Release Date : 2016-09-15
  • ISBN : 0128044098
DOWNLOAD BOOKQuantum Inspired Computational Intelligence

Quantum Inspired Computational Intelligence: Research and Applications explores the latest quantum computational intelligence approaches, initiatives, and applications in computing, engineering, science, and business. The book explores this emerging field of research that applies principles of quantum mechanics to develop more efficient and robust intelligent systems. Conventional computational intelligence-or soft computing-is conjoined with quantum computing to achieve this objective. The models covered can be applied to any endeavor which handles complex and meaningful information. Brings together quantum computing with computational intelligence

Quantum-Inspired Intelligent Systems for Multimedia Data Analysis

Quantum-Inspired Intelligent Systems for Multimedia Data Analysis
  • Author : Bhattacharyya, Siddhartha
  • Publisher : IGI Global
  • Release Date : 2018-04-13
  • ISBN : 9781522552208
DOWNLOAD BOOKQuantum-Inspired Intelligent Systems for Multimedia Data Analysis

As multimedia data advances in technology and becomes more complex, the hybridization of soft computing tools allows for more robust and safe solutions in data processing and analysis. Quantum-Inspired Intelligent Systems for Multimedia Data Analysis provides emerging research on techniques used in multimedia information processing using intelligent paradigms including swarm intelligence, neural networks, and deep learning. While highlighting topics such as clustering techniques, neural network architecture, and text data processing, this publication explores the methods and applications of computational intelligent

Bio-Inspired Computational Intelligence and Applications

Bio-Inspired Computational Intelligence and Applications
  • Author : Minrui Fei,George W. Irwin,Shiwei Ma
  • Publisher : Springer
  • Release Date : 2007-08-26
  • ISBN : 9783540747697
DOWNLOAD BOOKBio-Inspired Computational Intelligence and Applications

This book is part of a two-volume work that constitutes the refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2007, held in Shanghai, China, September 2007. Coverage includes advanced neural network theory, advanced evolutionary computing theory, ant colonies and particle swarm optimization, intelligent modeling, monitoring, and control of complex nonlinear systems, as well as biomedical signal processing, imaging and visualization.

Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence

Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence
  • Author : Nikola K. Kasabov
  • Publisher : Springer
  • Release Date : 2018-08-29
  • ISBN : 9783662577158
DOWNLOAD BOOKTime-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence

Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces for the first time not only deep learning and deep knowledge representation in the human brain and in brain-inspired SNN, but takes that further to develop new types of AI systems, called in the book brain-inspired AI (BI-AI). BI-AI

Quantum Inspired Meta-heuristics for Image Analysis

Quantum Inspired Meta-heuristics for Image Analysis
  • Author : Sandip Dey,Siddhartha Bhattacharyya,Ujjwal Maulik
  • Publisher : John Wiley & Sons
  • Release Date : 2019-06-03
  • ISBN : 9781119488781
DOWNLOAD BOOKQuantum Inspired Meta-heuristics for Image Analysis

Introduces quantum inspired techniques for image analysis for pure and true gray scale/color images in a single/multi-objective environment This book will entice readers to design efficient meta-heuristics for image analysis in the quantum domain. It introduces them to the essence of quantum computing paradigm, its features, and properties, and elaborates on the fundamentals of different meta-heuristics and their application to image analysis. As a result, it will pave the way for designing and developing quantum computing inspired meta-heuristics

Research Anthology on Artificial Intelligence Applications in Security

Research Anthology on Artificial Intelligence Applications in Security
  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release Date : 2020-11-27
  • ISBN : 9781799877486
DOWNLOAD BOOKResearch Anthology on Artificial Intelligence Applications in Security

As industries are rapidly being digitalized and information is being more heavily stored and transmitted online, the security of information has become a top priority in securing the use of online networks as a safe and effective platform. With the vast and diverse potential of artificial intelligence (AI) applications, it has become easier than ever to identify cyber vulnerabilities, potential threats, and the identification of solutions to these unique problems. The latest tools and technologies for AI applications have untapped

Challenges for Computational Intelligence

Challenges for Computational Intelligence
  • Author : Wlodzislaw Duch,Jacek Mandziuk
  • Publisher : Springer Science & Business Media
  • Release Date : 2007-06-26
  • ISBN : 9783540719830
DOWNLOAD BOOKChallenges for Computational Intelligence

In recent years computational intelligence has been extended by adding many other subdisciplines and this new field requires a series of challenging problems that will give it a sense of direction in order to ensure that research efforts are not wasted. This book written by top experts in computational intelligence provides such clear directions and a much-needed focus on the most important and challenging research issues.

Quantum Computing:An Environment for Intelligent Large Scale Real Application

Quantum Computing:An Environment for Intelligent Large Scale Real Application
  • Author : Aboul Ella Hassanien,Mohamed Elhoseny,Janusz Kacprzyk
  • Publisher : Springer
  • Release Date : 2017-10-13
  • ISBN : 9783319636399
DOWNLOAD BOOKQuantum Computing:An Environment for Intelligent Large Scale Real Application

This book highlights practical quantum key distribution systems and research on the implementations of next-generation quantum communication, as well as photonic quantum device technologies. It discusses how the advances in quantum computing and quantum physics have allowed the building, launching and deploying of space exploration systems that are capable of more and more as they become smaller and lighter. It also presents theoretical and experimental research on the potential and limitations of secure communication and computation with quantum devices, and

Computational Intelligence, Theory and Applications

Computational Intelligence, Theory and Applications
  • Author : Bernd Reusch
  • Publisher : Springer Science & Business Media
  • Release Date : 2006-09-09
  • ISBN : 9783540347835
DOWNLOAD BOOKComputational Intelligence, Theory and Applications

This book constitutes the refereed proceedings of the 9th Dortmund Fuzzy Days, Dortmund, Germany, 2006. This conference has established itself as an international forum for the discussion of new results in the field of Computational Intelligence. The papers presented here, all thoroughly reviewed, are devoted to foundational and practical issues in fuzzy systems, neural networks, evolutionary algorithms, and machine learning and thus cover the whole range of computational intelligence.

Hybrid Evolutionary Algorithms

Hybrid Evolutionary Algorithms
  • Author : Crina Grosan,Ajith Abraham,Hisao Ishibuchi
  • Publisher : Springer
  • Release Date : 2007-08-29
  • ISBN : 9783540732976
DOWNLOAD BOOKHybrid Evolutionary Algorithms

This edited volume is targeted at presenting the latest state-of-the-art methodologies in "Hybrid Evolutionary Algorithms". The chapters deal with the theoretical and methodological aspects, as well as various applications to many real world problems from science, technology, business or commerce. Overall, the book has 14 chapters including an introductory chapter giving the fundamental definitions and some important research challenges. The contributions were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed.

Quantum Machine Learning

Quantum Machine Learning
  • Author : Siddhartha Bhattacharyya,Indrajit Pan,Ashish Mani,Sourav De,Elizabeth Behrman,Susanta Chakraborti
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release Date : 2020-06-08
  • ISBN : 9783110670707
DOWNLOAD BOOKQuantum Machine Learning

Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving a classical machine learning method. Such algorithms typically require one to encode the given classical dataset into a quantum computer, so as to make it accessible for quantum information processing. After this, quantum information processing routines can be applied and the result of the quantum computation is read out by measuring the quantum system. While many proposals of quantum machine learning algorithms are still purely

Hybrid Computational Intelligence

Hybrid Computational Intelligence
  • Author : Siddhartha Bhattacharyya,Václav Snášel,Deepak Gupta,Ashish Khanna
  • Publisher : Academic Press
  • Release Date : 2020-03-05
  • ISBN : 9780128187005
DOWNLOAD BOOKHybrid Computational Intelligence

Hybrid Computational Intelligence: Challenges and Utilities is a comprehensive resource that begins with the basics and main components of computational intelligence. It brings together many different aspects of the current research on HCI technologies, such as neural networks, support vector machines, fuzzy logic and evolutionary computation, while also covering a wide range of applications and implementation issues, from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book also explores the most widely used applications of

Handbook of Research on Soft Computing and Nature-Inspired Algorithms

Handbook of Research on Soft Computing and Nature-Inspired Algorithms
  • Author : Shandilya, Shishir K.,Shandilya, Smita,Deep, Kusum,Nagar, Atulya K.
  • Publisher : IGI Global
  • Release Date : 2017-03-10
  • ISBN : 9781522521297
DOWNLOAD BOOKHandbook of Research on Soft Computing and Nature-Inspired Algorithms

Soft computing and nature-inspired computing both play a significant role in developing a better understanding to machine learning. When studied together, they can offer new perspectives on the learning process of machines. The Handbook of Research on Soft Computing and Nature-Inspired Algorithms is an essential source for the latest scholarly research on applications of nature-inspired computing and soft computational systems. Featuring comprehensive coverage on a range of topics and perspectives such as swarm intelligence, speech recognition, and electromagnetic problem solving,