TY  - BOOK
AU  - Nedjah,Nadia
AU  - Coelho,Leandro dos Santos
AU  - Mourelle,Luiza de Macedo
ED  - SpringerLink (Online service)
TI  - Quantum Inspired Intelligent Systems
T2  - Studies in Computational Intelligence,
SN  - 9783540785323
AV  - TA329-348 
U1  - 519 23
PY  - 2008///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Engineering
KW  - Artificial intelligence
KW  - Quantum physics
KW  - Quantum computers
KW  - Spintronics
KW  - Applied mathematics
KW  - Engineering mathematics
KW  - Appl.Mathematics/Computational Methods of Engineering
KW  - Artificial Intelligence (incl. Robotics)
KW  - Quantum Physics
KW  - Quantum Information Technology, Spintronics
KW  - Electronic books
KW  - local
N1  - 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
N2  - 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
UR  - http://ezproxy.alfaisal.edu/login?url=http://dx.doi.org/10.1007/978-3-540-78532-3
ER  -