| 词条 | 计算智能及其应用 |
| 释义 | 《计算智能及其应用》阐述计算智能的理论和相关的应用。重点介绍了如下三个方面的内容：计算智能的前沿技术，可以用计算智能的方法来解决的前沿问题，计算智能的最新技术在相关领域的应用。《计算智能及其应用》可作为信息科学技术领域高年级本科生和研究生的针对计算智能的入门教材，也可以供从事科研和技术开发的人员参考。 图书信息书 名: 计算智能及其应用 作 者：姚新 出版社： 中国科学技术大学出版社 出版时间： 2009年06月 ISBN: 9787312022180 开本： 16开 定价: 68元 图书目录Preface to the USTC Alumni's Series Preface 1 Adaptive Particle Filters 1.1 Bayesian Filtering for Dynamic State Estimation 1.1.1 State and Observation Models 1.1.2 Bayesian Filtering Method 1.2 Fundamentals of Particle Filters 1.2.1 Sequential Monte Carlo Method 1.2.2 Basic Particle Filtering Algorithms 1.3 Challenging Issues in Particle Filtering 1.3.1 Unknown or Varying State Model 1.3.2 Construction of Proposal Density 1.3.3 Determination of Sample Size 1.3.4 Curse of Dimensionality 1.4 Adaptive Particle Filtering Algorithms 1.4.1 Algorithms with Adaptive Sample Size. 1.4.2 Algorithms with Adaptive Proposal:Density 1.4.3 Other Related Algorithms 1.5 Summary References Brief Introduction of Authors 2 Feature Localization and Shape Indexing for ContentBased Image Retrieval 2.1 Introduction 2.2 Locales for Feature Localization 2.3 Search by Object Model 2.4 Shape Indexing and Recognition 2.5 Experimental Results 2.5.1 Search Using Locale-based Models 2.5.2 Video Locales 2.5.3 Shape Indexing and Recognition 2.6 Conclusion References Brief Introduction of Authors 3 BlueGene/L Failure Analysis and Prediction Models 3.1 Introduction 3.2 BlueGene/L Architecture, RAS Event Logs, and Job Logs 3.2.1 BlueGene/L Architecture 3.2.2 RAS Event Logs 3.2.3 Job Logs 3.3 Impact of Failures on Job Executions 3.4 Failure Prediction Based on Failure Characteristics 3.4.1 Temporal Characteristics 3.4.2 Spatial Characteristics 3.5 Predicting Failures Using the Occurrence of Non-Fatal Events 3.6 Related Work 3.7 Concluding Remarks and Future Directions References Brief Introduction of Authors 4 A Neuro-Fuzzy Approach towards Adaptive IntrusionTolerant Database Systems 4.1 Overview 4.2 ITDB architecture 4.3 The Need for Adaptivity 4.4 Intelligent Techniques Solutions in AdaptiveITDB 4.5 Intelligent Techniques Solutions in AdaptiveITDB 4.6 The Design of Reconfiguration Components 4.7 Performance Metrics for Adaptive ITDB 4.8 Adaptation Criteria 4.9 The Rule-Based Adaptive Controller 4.10 The Neuro-Fuzzy Adaptive Controller 4.11 The collection of training data 4.12 Evaluation Methodology 4.12.1 Transaction Simulation 4.12.2 Evaluation Criteria 4.13 Evaluation of NFAC and RBAC Performance 4.14 Conclusion 4.15 Future Work References Brief Introduction of Authors …… |
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