The Theory and Method of Design and Optimization for Railway Intelligent Transportation Systems (RITS)
The Theory and Method of Design and Optimization for Railway Intelligent Transportation Systems (RITS)

Author: Wang Zhou

Publisher: Bentham Science Publishers

Published: 2011

Total Pages: 156

ISBN-13: 1608051382

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This book explains the theory and methods of system optimization design for railway intelligent transportation systems (RITS), which optimizes RITS total performance by decreasing the difficulty and cost of system development and increasing the system efficiency. Readers will understand key concepts of RITS and the latest research relevant to China and other countries where RITSs have been developed. The book is suitable for university scholars in the field of railway transportation.

Real-Time Optimization
Real-Time Optimization

Author: Dominique Bonvin

Publisher: MDPI

Published: 2018-07-05

Total Pages: 255

ISBN-13: 303842448X

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This book is a printed edition of the Special Issue "Real-Time Optimization" that was published in Processes

Annual Report
Annual Report

Author: University of Minnesota. Intelligent Transportation Systems Institute

Publisher:

Published: 2004

Total Pages: 64

ISBN-13:

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Inhalation Aerosols
Inhalation Aerosols

Author: Anthony J. Hickey

Publisher: CRC Press

Published: 2019-03-21

Total Pages: 417

ISBN-13: 1351660527

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Inhalation aerosols continue to be the basis for successful lung therapy for several diseases, with therapeutic strategies and the range of technology significantly evolving in recent years. In response, this third edition takes a new approach to reflect the close integration of technology with its application. After briefly presenting the general considerations that apply to aerosol inhalation, the central section of the book uses the focus on disease and therapeutic agents to illustrate the application of specific technologies. The final integrated strategies section draws the major points from the applications for disease targets and drug products.

Artificial Neural Nets and Genetic Algorithms
Artificial Neural Nets and Genetic Algorithms

Author: David W. Pearson

Publisher: Springer Science & Business Media

Published: 2003-04-08

Total Pages: 284

ISBN-13: 9783211007433

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The papers in this volume present theoretical aspects and applications of artificial neural networks and genetic algorithms. Also included are papers on fuzzy logic, soft computing, and artificial intelligence. Fundamental issues are addressed, such as the nonlinear approximation capabilities of neural networks and formal methods of data representation with topological properties. New elements in genetic algorithms are presented, for example, crossover methods and gene representation. Papers on applications of neural networks show how successful these methods are in a wide range of fields like meteorological and atmospheric pollution forecasts, furnace control, and system identification. Genetic algorithms are used to solve optimization problems related to shipping and computer vision. Fuzzy-logic-based techniques are applied to sociodynamic models and hybrid neuro-fuzzy models.