Quantum Inspired Computational Intelligence: Research and Applications
Autor Siddhartha Bhattacharyya, Ujjwal Maulik, Paramartha Duttaen Limba Engleză Paperback – 18 sep 2016
- 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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Specificații
ISBN-13: 9780128044094
ISBN-10: 0128044098
Pagini: 506
Dimensiuni: 191 x 235 x 48 mm
Greutate: 1.04 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0128044098
Pagini: 506
Dimensiuni: 191 x 235 x 48 mm
Greutate: 1.04 kg
Editura: ELSEVIER SCIENCE
Cuprins
1. Quantum Neural Computation of Entanglement is Robust to Noise and Decoherence2. Quantum Computing and Supervised Machine Learning: Training, Model Selection and Error Estimation3. Field Computation: A Framework for Quantum Inspired Computing4. Design of Cellular Quantum-inspired Evolutionary Algorithm with Random Topologies5. An Efficient Pure Color Image Denoising using Quantum Parallel Bi-Directional Self-Organizing Neural Network Architecture6. Quantum Inspired Multi-objective SA for Bi-level Image Thresholding7. Quantum Inspired Computational Intelligent Techniques in Image Segmentation8. Fuzzy Evaluated Quantum Cellular Automata Approach for Watershed Image Analysis9. Quantum Inspired Evolutionary Algorithm for Scaling Factors Optimization during Manifold Medical Information Embedding10. Digital Filter Design using Quantum Inspired Multi-Objective Cat Swarm Optimization Algorithm11. A Novel Graph Clustering Algorithm Based On Discrete Time Quantum Random Walk12. Schrodinger equation as an inspiration for client portfolio simulation hybrid system based on dynamic Bayesian networks and REFII model13. A Quantum Inspired Hybrid Intelligent Position Monitoring System in Wireless Networks