中国科大校友文库计算智能及其应用（英文版）

　　本书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。本书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。IEEE计算智能协会（www．ieee-cis．ors）是该领域重要学术组织，并为本书编写提供很大帮助。

暂缺《中国科大校友文库计算智能及其应用（英文版）》作者简介

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 Content　Based 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 Intrusion　Tolerant Database Systems
　4.1 Overview
4.2 ITDB architecture
4.3 The Need for Adaptivity
4.4 Intelligent Techniques Solutions in Adaptive　ITDB
4.5 Intelligent Techniques Solutions in Adaptive　ITDB
　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
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