国产第1页_91在线亚洲_中文字幕成人_99久久久久久_五月宗合网_久久久久国产一区二区三区四区

讀書月攻略拿走直接抄!
歡迎光臨中圖網(wǎng) 請(qǐng) | 注冊(cè)

包郵 計(jì)算智能及其應(yīng)用

作者:姚新
出版社:中國(guó)科學(xué)技術(shù)大學(xué)出版社出版時(shí)間:2009-06-01
開本: 16 頁數(shù): 12
中 圖 價(jià):¥38.4(5.6折) 定價(jià)  ¥68.0 登錄后可看到會(huì)員價(jià)
加入購物車 收藏
開年大促, 全場(chǎng)包郵
?新疆、西藏除外
本類五星書更多>
買過本商品的人還買了

計(jì)算智能及其應(yīng)用 版權(quán)信息

計(jì)算智能及其應(yīng)用 本書特色

《計(jì)算智能及其應(yīng)用》是由中國(guó)科學(xué)技術(shù)大學(xué)出版社出版的。

計(jì)算智能及其應(yīng)用 內(nèi)容簡(jiǎn)介

本書闡述計(jì)算智能的理論和相關(guān)的應(yīng)用。重點(diǎn)介紹如下三個(gè)方面的內(nèi)容:計(jì)算智能的前沿技術(shù),可以用計(jì)算智能的方法來解決的前沿問題,計(jì)算智能的*新技術(shù)在相關(guān)領(lǐng)域的應(yīng)用。

計(jì)算智能及其應(yīng)用 目錄

Preface to the USTC Alumni's SeriesPreface1 Adaptive Particle Filters1.1 Bayesian Filtering for Dynamic State Estimation 1.1.1 State and Observation Models1.1.2 Bayesian Filtering Method1.2 Fundamentals of Particle Filters 1.2.1 Sequential Monte Carlo Method1.2.2 Basic Particle Filtering Algorithms1.3 Challenging Issues in Particle Filtering1.3.1 Unknown or Varying State Model1.3.2 Construction of Proposal Density1.3.3 Determination of Sample Size 1.3.4 Curse of Dimensionality 1.4 Adaptive Particle Filtering Algorithms1.4.1 Algorithms with Adaptive Sample Size.1.4.2 Algorithms with Adaptive Proposal:Density 1.4.3 Other Related Algorithms1.5 SummaryReferences Brief Introduction of Authors2 Feature Localization and Shape Indexing for ContentBased Image Retrieval2.1 Introduction 2.2 Locales for Feature Localization 2.3 Search by Object Model2.4 Shape Indexing and Recognition2.5 Experimental Results 2.5.1 Search Using Locale-based Models 2.5.2 Video Locales2.5.3 Shape Indexing and Recognition2.6 ConclusionReferencesBrief Introduction of Authors3 BlueGene/L Failure Analysis and Prediction Models3.1 Introduction3.2 BlueGene/L Architecture, RAS Event Logs, and Job Logs3.2.1 BlueGene/L Architecture3.2.2 RAS Event Logs3.2.3 Job Logs 3.3 Impact of Failures on Job Executions3.4 Failure Prediction Based on Failure Characteristics3.4.1 Temporal Characteristics3.4.2 Spatial Characteristics 3.5 Predicting Failures Using the Occurrence of Non-Fatal Events3.6 Related Work3.7 Concluding Remarks and Future DirectionsReferencesBrief Introduction of Authors4 A Neuro-Fuzzy Approach towards Adaptive IntrusionTolerant Database Systems4.1 Overview4.2 ITDB architecture4.3 The Need for Adaptivity 4.4 Intelligent Techniques Solutions in AdaptiveITDB4.5 Intelligent Techniques Solutions in AdaptiveITDB4.6 The Design of Reconfiguration Components4.7 Performance Metrics for Adaptive ITDB4.8 Adaptation Criteria4.9 The Rule-Based Adaptive Controller4.10 The Neuro-Fuzzy Adaptive Controller4.11 The collection of training data4.12 Evaluation Methodology4.12.1 Transaction Simulation4.12.2 Evaluation Criteria4.13 Evaluation of NFAC and RBAC Performance4.14 Conclusion4.15 Future WorkReferencesBrief Introduction of Authors 5 Artificial Neural Network Applications in Software Re-liability5.1 Introduction5.2 Analytical Software Reliability Models 5.3 ANN Models5.3.1 Model I-Traditional ANN Modeling5.3.2 Model II- FDP&FCP Modeling5.3.3 Models III- Early Prediction Modeling5.4 Numerical Applications5.4.1 Applications of Traditional ANN Models5.4.2 Applications of FDP&FCP ANN Models5.4.3 Applications of Early Prediction ANN Models5.5 Conclusions and DiscussionsReferencesBrief Introduction of Authors6 A New Computational Intelligent Approach to Protein Tertiary Structure Prediction6.1 Introduction6.2 New Fragment Retrieval Methods6.2.1 Fragment Retrieval Using BLAST6.2.2 Information Content of Retrieved Fragments6.2.3 Whole Template Retrieval Using Secondary Structures6.3 New Protein 3-D Structure Prediction Methods6.3.1 Multidimensional Scaling (MDS) Methods6.3.2 MDS-based Structure Prediction6.3.3 Refinement Using Local Optimization6.3.4 Non-Harmonic and Non-Local Objective Functions6.4 Identifying Near-Native Structures from Predicted Candidates.6.4.1 A New Clustering-Based Selection Method 6.4.2 Combined Ranking Method6.5 Experimental Results6.6 SummaryReferencesBrief Introduction of Authors7 Recursive Nonparametric Discriminant Analysis for Object Detection7.1 Introduction7.2 Related Work7.3 Discriminant Feature Extraction for Object Detection7.3.1 Fisher Discriminant Analysis and Nonparametric Dis-criminant Analysis7.3.2 Recursive Nonparametric Discriminant Analysis7.4 Constructing Classifiers using RNDA Features and AdaBoost7.4.1 AdaBoost Algorithm7.4.2 Applying AdaBoost to Combine RNDA Features7.5 Experiments7.5.1 Training7.5.2 Frontal and Profile Face Detection7.5.3 Eye Detection7.5.4 Face Recognition Experiments7.5.5 Discussion on Computational Complexity7.6 ConclusionReferencesBrief Introduction of Authors8 On the Privacy Preserving Properties of Projection-Based Data Perturbation Techniques8.1 Introduction8.2 Perturbation Approaches8.2.1 Additive-Noise-Based Approach8.2.2 Distance-Preserving-Based Projection8.2.3 Non-Distance-Preserving-Based Projection8.2.4 The General-Linear-Transformation-Based Perturbation8.3 Direct Attack8.3.1 ICA Revisited8.3.2 Drawbacks of Direct ICA8.4 Sample-Based Attack8.4.1 Attacks for Distance-Preserving-Based Projection8.4.2 Attacks for Non-Distance-Preserving-Based Projection8.4.3 Attacks for General-Linear-Transformation-Based Per-turbation8.5 Empirical Evaluations8.5.1 Effect of Noise and the Transformation Matrix8.5.2 Effect of the Sample Size
展開全部

計(jì)算智能及其應(yīng)用 節(jié)選

《計(jì)算智能及其應(yīng)用》闡述計(jì)算智能的理論和相關(guān)的應(yīng)用。重點(diǎn)介紹了如下三個(gè)方面的內(nèi)容:計(jì)算智能的前沿技術(shù),可以用計(jì)算智能的方法來解決的前沿問題,計(jì)算智能的*新技術(shù)在相關(guān)領(lǐng)域的應(yīng)用。《計(jì)算智能及其應(yīng)用》可作為信息科學(xué)技術(shù)領(lǐng)域高年級(jí)本科生和研究生的針對(duì)計(jì)算智能的入門教材,也可以供從事科研和技術(shù)開發(fā)的人員參考。IEEE計(jì)算智能協(xié)會(huì)(www.ieee-cis.ors)是該領(lǐng)域重要學(xué)術(shù)組織,并為《計(jì)算智能及其應(yīng)用》編寫提供很大幫助。

商品評(píng)論(0條)
暫無評(píng)論……
書友推薦
本類暢銷
編輯推薦
返回頂部
中圖網(wǎng)
在線客服
主站蜘蛛池模板: 亚洲精品精品一区 | 国产精品视频免费观看 | 综合图片亚洲网友自拍 | 91女神在线 | 久久精品视频国产 | 清纯美女校花在线啪视频播放器 | 欧美日韩天堂 | 不卡视频在线观看 | 99在线热播 | 黄色视频在线观看免费 | 久久婷婷国产麻豆91天堂 | 色翁荡熄又大又硬又粗又视频 | 青青草原网站在线观看 | 视频二区 | 久久无码人妻一区二区三区午夜 | 熟女少妇精品一区二区 | 国产精品久久久久久久 | 五月丁香综合缴情六月小说 | 亚洲精品无码久久毛片 | 边啃奶头边躁狠狠躁 | 久久精品视频一区二区三区 | 国产va免费精品观看精品 | 妞干网在线播放 | 国产性大片黄在线观看在线放 | 中文人妻无码一区二区三区信息 | 男女很舒服爽视频免费 | 99热这里只有精品88 | 成年男女男免费视频网站不卡 | 视频在线观看一区二区 | 欧美男男大粗吊1069 | 成a人片亚洲日本久久 | 精品国产一区二区三区成人 | 久久精品一区二区三区不卡牛牛 | 日韩欧美国产一区二区三区四区 | 国产网站在线播放 | 外国成人xxx在线视频 | 欧美熟妇色ⅹxxx欧美妇 | 免费中文字幕日产乱码 | 国产欧美一区二区精品性色 | 一区二区三区精品国产 | 亚洲成a人片在线观看天堂无码 |