Quantum Inspired Computational Intelligence. Research and Applications
β Scribed by Siddhartha Bhattacharyya, Ujjwal Maulik, Paramartha Dutta
- Publisher
- Morgan Kaufmann
- Year
- 2017
- Tongue
- English
- Leaves
- 486
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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
β¦ Table of Contents
Content:
Front Matter,Copyright,Dedication,List of Contributors,About the Editors,Foreword,Preface,AcknowledgmentsEntitled to full textPart I: ResearchChapter 1 - Quantum neural computation of entanglement is robust to noise and decoherence, Pages 3-32
Chapter 2 - Quantum computing and supervised machine learning: Training, model selection, and error estimation, Pages 33-83
Chapter 3 - Field computation: A framework for quantum-inspired computing, Pages 85-110
Chapter 4 - Design of cellular quantum-inspired evolutionary algorithms with random topologies, Pages 111-146
Chapter 5 - An efficient pure color image denoising using quantum parallel bidirectional self-organizing neural network architecture, Pages 149-205
Chapter 6 - Quantum-inspired multi-objective simulated annealing for bilevel image thresholding*, Pages 207-232
Chapter 7 - Quantum inspired computational intelligent techniques in image segmentation, Pages 233-258
Chapter 8 - Fuzzy evaluated quantum cellular automata approach for watershed image analysis, Pages 259-284
Chapter 9 - Quantum-inspired evolutionary algorithm for scaling factor optimization during manifold medical information embedding, Pages 285-326
Chapter 10 - Digital filter design using quantum-inspired multiobjective cat swarm optimization algorithm, Pages 327-359
Chapter 11 - A novel graph clustering algorithm based on discrete-time quantum random walk, Pages 361-389
Chapter 12 - The SchrΓΆdinger equation as inspiration for a client portfolio simulation hybrid system based on dynamic Bayesian networks and the REFII model, Pages 391-416
Chapter 13 - A quantum-inspired hybrid intelligent position monitoring system in wireless networks, Pages 417-452
Author Index, Pages 453-466
Subject Index, Pages 467-475
β¦ Subjects
Computational intelligence;Quantum computing;COMPUTERS;General
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