Siddhartha Bhattacharyya, Ujjwal Maulik, Paramartha Dutta

Quantum Inspired Computational Intelligence

Research and Applications

• Broschiertes Buch

Produktbeschreibung

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

Produktdetails

• Verlag: Morgan Kaufmann
• Seitenzahl: 506
• Erscheinungstermin: 12. Januar 2017
• Englisch
• Abmessung: 237mm x 190mm x 22mm
• Gewicht: 1020g
• ISBN-13: 9780128044094
• ISBN-10: 0128044098
• Artikelnr.: 45154052

Autorenporträt

Bhattacharyya, SiddharthaSiddhartha Bhattacharyya [FRSA, FIET (UK), FIEI, FIETE, LFOSI, SMIEEE, SMACM, SMIETI, LMCSI, LMISTE] is currently the Principal of Rajnagar Mahavidyalaya, Birbhum, India. Prior to this, he was a Professor at CHRIST (Deemed to be University), Bangalore, India. He also served as the Principal of RCC Institute of Information Technology, Kolkata, India. He has served VSB Technical University of Ostrava, Czech Republic as a Senior Research Scientist. He is the recipient of several coveted national and international awards. He received the Honorary Doctorate Award (D. Litt.) from the University of South America and the SEARCC International Digital Award ICT Educator of the Year in 2017. He was appointed as the ACM Distinguished Speaker for the tenure 2018-2020. He has been appointed as the IEEE Computer Society Distinguished Visitor for the tenure 2021-2023. He is a co-author of 6 books and the co-editor of 75 books and has more than 300 research publications in international journals and conference proceedings to his credit.

Inhaltsangabe

1. Quantum Neural Computation of Entanglement is Robust to Noise and Decoherence 2. Quantum Computing and Supervised Machine Learning: Training, Model Selection and Error Estimation 3. Field Computation: A Framework for Quantum Inspired Computing 4. Design of Cellular Quantum-inspired Evolutionary Algorithm with Random Topologies 5. An Efficient Pure Color Image Denoising using Quantum Parallel Bi-Directional Self-Organizing Neural Network Architecture 6. Quantum Inspired Multi-objective SA for Bi-level Image Thresholding 7. Quantum Inspired Computational Intelligent Techniques in Image Segmentation 8. Fuzzy Evaluated Quantum Cellular Automata Approach for Watershed Image Analysis 9. Quantum Inspired Evolutionary Algorithm for Scaling Factors Optimization during Manifold Medical Information Embedding 10. Digital Filter Design using Quantum Inspired Multi-Objective Cat Swarm Optimization Algorithm 11. A Novel Graph Clustering Algorithm Based On Discrete Time Quantum Random Walk 12. Schrodinger equation as an inspiration for client portfolio simulation hybrid system based on dynamic Bayesian networks and REFII model 13. A Quantum Inspired Hybrid Intelligent Position Monitoring System in Wireless Networks