Quantum Inspired Intelligent Systems

2008
ISBN: 978-3-540-78531-6
Verlag: Springer Berlin Heidelberg

Buch, Englisch, Band 121, 156 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 430 g

Reihe: Studies in Computational Intelligence

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.

Zielgruppe

Research

Autoren/Hrsg.

Coelho, Leandro Dos Santos

Fachgebiete

• Naturwissenschaften Physik Quantenphysik
• Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computer-Aided Design (CAD)
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Computeranwendungen in der Mathematik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
• Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Naturwissenschaften Physik Physik Allgemein Theoretische Physik, Mathematische Physik, Computerphysik

Inhaltsverzeichnis

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.