Ayyub Applied Research in Uncertainty Modeling and Analysis

1. Auflage 2007
ISBN: 978-0-387-23550-9
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 20, 545 Seiten

Reihe: International Series in Intelligent Technologies

The application areas of uncertainty are numerous and diverse, including all fields of engineering, computer science, systems control and finance. Determining appropriate ways and methods of dealing with uncertainty has been a constant challenge. The theme for this book is better understanding and the application of uncertainty theories. This book, with invited chapters, deals with the uncertainty phenomena in diverse fields. The book is an outgrowth of the Fourth International Symposium on Uncertainty Modeling and Analysis (ISUMA), which was held at the center of Adult Education, College Park, Maryland, in September 2003. All of the chapters have been carefully edited, following a review process in which the editorial committee scrutinized each chapter. The contents of the book are reported in twenty-three chapters, covering more than . . ... pages. This book is divided into six main sections. Part I (Chapters 1-4) presents the philosophical and theoretical foundation of uncertainty, new computational directions in neural networks, and some theoretical foundation of fuzzy systems. Part I1 (Chapters 5-8) reports on biomedical and chemical engineering applications. The sections looks at noise reduction techniques using hidden Markov models, evaluation of biomedical signals using neural networks, and changes in medical image detection using Markov Random Field and Mean Field theory. One of the chapters reports on optimization in chemical engineering processes.

Autoren/Hrsg.

Ayyub, Bilal M.

Inhaltsverzeichnis

1;LIST OF CONTRIBUTORS;7
2;FOREWORD;10
3;PREFACE;12
4;CONTENTS;14
5;Chapter 1 PHILOSOPHICAL AND THEORETICAL BASES FOR ANALYZING AND MODELING UNCERTAINTY AND IGNORANCE;16
6;Chapter 2 A SELF-ORGANIZING NEURAL NETWORK BY DYNAMIC AND SPATIAL CHANGING WEIGHTS;34
7;Chapter 3 SIMULATION OF FUZZY SYSTEMS I;46
8;Chapter 4 SIMULATION OF FUZZY SYSTEMS II;76
9;Chapter 5 EVENT - RELATED POTENTIAL NOISE REDUCTION USING THE HIDDEN MARKOV TREE MODEL;106
10;Chapter 6 CHANGE DETECTION IN IMAGE SEQUENCE BASED ON MARKOV RANDOM FIELD AND MEAN FIELD THEORY;129
11;Chapter 7 ANALYSIS OF MULTI-CHANNEL SUBDURAL EEG BY RECURRENT NEURAL NETWORKS;152
12;Chapter 8 MULTICRITERIA OPTIMIZATION UNDER PARAMETRIC UNCERTAINTY;173
13;Chapter 9 DESIGN OF NEURAL NETWORKS FOR PAVEMENT RUTTING;204
14;Chapter 10 NEURAL NETWORKS FOR RESIDENTIAL INFRASTRUCTURE MANAGEMENT;225
15;Chapter 11 EVACUATION SIMULATION IN UNDERGROUND MALL BY ARTIFICIAL LIFE TECHNOLOGY;259
16;Chapter 12 EPISTEMIC UNCERTAINTY AND THE MANAGEMENT OF HIGH RISK EXPOSURES;276
17;Chapter 13 EXPERIMENT WITH A HIERARCHICAL TEXT CATEGORIZATION METHOD ON WIPO PATENT COLLECTIONS;291
18;Chapter 14 STUDY OF TRANSPORTATION AND UNCERTAINTY;311
19;Chapter 15 MULTI AGENT SYSTEMS APPROACH TO PARKING FACILITIES MANAGEMENT;328
20;Chapter 16 MODELING TRANSPORTATION CHOICE THROUGH UTILITY-BASED MULTI-LAYER FEEDFORWARD NETWORKS;347
21;Chapter 17 HETEROGENEITY IN COMMUTER DEPARTURE TIME DECISION: A PROSPECT THEORETIC APPROACH;375
22;Chapter 18 Importance of Fuzzy Sets Definitions for Fuzzy Signal Controllers;405
23;Chapter 19 RELIABILITY EVALUATION OF REALISTIC STRUCTURES USING FEM;423
24;Chapter 20 SIMULATION IN RISK-BASED CODIFIED ENGINEERING DESIGN;449
25;Chapter 21 SYSTEM IDENTIFICATION AT LOCAL LEVEL UNDER UNCERTAINTY;465
26;Chapter 22 UNCERTAINTY MODELING OF CHLORIDE CONTAMINATION AND CORROSION OF CONCRETE BRIDGES;495
27;Chapter 23 REDUNDANCY ANALYSIS OF STRUCTURAL SYSTEMS;516
28;INDEX;535