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Full Description
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.
Contents
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
