Quantum Inspired Intelligent Systems
Seiten
2010
|
1. Softcover reprint of hardcover 1st ed. 2008
Springer Berlin (Verlag)
978-3-642-09729-4 (ISBN)
Springer Berlin (Verlag)
978-3-642-09729-4 (ISBN)
Research on applying principles of quantum computing to improve the engineering of intelligent systems was launched in the late 1990s. This volume offers a wide spectrum of research work developed using soft computing combined with quantum computing 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 offers a wide spectrum of research work developed using soft computing combined with quantum computing 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 offers a wide spectrum of research work developed using soft computing combined with quantum computing systems.
Gaussian Quantum-Behaved Particle Swarm Optimization Applied to Fuzzy PID Controller Design.- Quantum-inspired genetic algorithms for flow shop scheduling.- Quantum Simulataneous Recurrent Networks for Content Addressable Memory.- Quantum Intelligent Mobile System.- Quantum Associative Pattern Retrieval.- Quantum-Inspired Evolutionary Algorithm for Numerical Optimization.- Calibration of the VGSSD Option Pricing Model using a Quantum-inspired Evolutionary Algorithm.
| Erscheint lt. Verlag | 28.10.2010 |
|---|---|
| Reihe/Serie | Studies in Computational Intelligence |
| Zusatzinfo | XIV, 156 p. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 264 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
| Naturwissenschaften ► Physik / Astronomie ► Quantenphysik | |
| Technik | |
| Schlagworte | algorithm • algorithms • Artificial Neural Network • Computational Intelligence • Evolution • evolutionary algorithm • fuzzy • fuzzy system • Genetic algorithms • Intelligence • Intelligent Systems • Mechanics • Neural networks • Optimization • Quantum-inspired Evolutionary Algorithms • Quantum-inspired genetic algorithms • Quantum Intelligent Mobile Systems • quantum mechanics |
| ISBN-10 | 3-642-09729-4 / 3642097294 |
| ISBN-13 | 978-3-642-09729-4 / 9783642097294 |
| Zustand | Neuware |
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