標(biāo)題: Titlebook: Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering; Larisa Angstenberger Book 2001 Springer Science+Business M [打印本頁] 作者: CHORD 時(shí)間: 2025-3-21 17:18
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書目名稱Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering讀者反饋學(xué)科排名
作者: 吝嗇性 時(shí)間: 2025-3-21 22:15
General Framework of Dynamic Pattern Recognition,are a lot of applications in which the order of state changes of an object over time determines its membership to a certain pattern, or class. In these cases, for the correct recognition of objects it is very important not only to consider properties of objects at a certain moment in time but also t作者: 過于平凡 時(shí)間: 2025-3-22 02:00
Stages of the Dynamic Pattern Recognition Process, updating the classifier according to detected changes in the cluster structure. Different approaches used for establishing the monitoring process are usually based on the observation and the analysis of some characteristic values describing the performance of a classifier or the cluster structure. 作者: 6Applepolish 時(shí)間: 2025-3-22 05:04
Dynamic Fuzzy Classifier Design with Point-Prototype Based Clustering Algorithms,ure. The main property of a dynamic classifier is its ability to recognise temporal changes in the cluster structure caused by new objects and to adapt its structure over time according to the detected changes. The design of a dynamic fuzzy classifier consists of three main components: monitoring pr作者: 雪崩 時(shí)間: 2025-3-22 10:24
Similarity Concepts for Dynamic Objects in Pattern Recognition,sters so that objects belonging to any one of the clusters would be as similar as possible and objects of different clusters as dissimilar as possible. The most important problem arising in this context is the choice of a relevant similarity measure, which is then used for the definition of the clus作者: discord 時(shí)間: 2025-3-22 14:36
Applications of Dynamic Pattern Recognition Methods,nsidered in this chapter. The first example taken from credit industry and presented in Section 6.1 is concerned with the problem of bank customer segmentation based on customers’ behavioural data. After a description of the credit data of bank customers and the formulation of the goals of the analy作者: discord 時(shí)間: 2025-3-22 20:12
Conclusions,ge number of applications where for a correct recognition of structure in data the consideration of the temporal development of objects over time is required, for instance state-dependent machine maintenance and diagnosis, the analysis of bank customers’ behaviour for the evaluation of their creditw作者: 大猩猩 時(shí)間: 2025-3-22 23:54 作者: barium-study 時(shí)間: 2025-3-23 03:23
https://doi.org/10.1007/978-3-540-47857-7adapted to temporal changes detected by the monitoring process. The updating strategies of a dynamic classifier presented in Section 3.2 depend on the type of temporal changes in the cluster structure (gradual or abrupt) and can require either the adjustment of classifier parameters or complete re-l作者: 同時(shí)發(fā)生 時(shí)間: 2025-3-23 06:47 作者: 一條卷發(fā) 時(shí)間: 2025-3-23 11:12
https://doi.org/10.1007/978-3-540-47857-7 and the information about temporal changes in customer behaviour. This section contains a detailed description of the customer segments obtained during both types of analysis, an evaluation of the quality of the fuzzy partitions and a comparison of the different clustering results. The second appli作者: 館長 時(shí)間: 2025-3-23 16:43 作者: acrobat 時(shí)間: 2025-3-23 19:48
Introduction,chnologies as well as statistical and mathematical techniques. Pattern recognition is the research area which provides the majority of methods for data mining and aims at supporting humans in analysing complex data structures automatically.作者: 變態(tài) 時(shí)間: 2025-3-23 22:37 作者: 粗俗人 時(shí)間: 2025-3-24 05:04 作者: Diluge 時(shí)間: 2025-3-24 08:19
Applications of Dynamic Pattern Recognition Methods, and the information about temporal changes in customer behaviour. This section contains a detailed description of the customer segments obtained during both types of analysis, an evaluation of the quality of the fuzzy partitions and a comparison of the different clustering results. The second appli作者: Physiatrist 時(shí)間: 2025-3-24 12:16
Conclusions,ognise typical (static) states in the behaviour of a system/process given as points in the feature space at a certain time instant, and follow their temporal changes as time passes using updating techniques. Most of these algorithms are able to detect only gradual changes in the data structure by mo作者: Dendritic-Cells 時(shí)間: 2025-3-24 17:00
Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering作者: Increment 時(shí)間: 2025-3-24 22:00 作者: 萬神殿 時(shí)間: 2025-3-24 23:33 作者: 使絕緣 時(shí)間: 2025-3-25 05:53 作者: minion 時(shí)間: 2025-3-25 11:32 作者: Anemia 時(shí)間: 2025-3-25 11:51
Drucker einrichten und verwalten,cal and scientific environments, as well as advances in data storage technologies, over the last decade have lead to large amounts of data being stored in databases. Analysing and extracting valuable information from these data has become an important issue in recent research and attracted the atten作者: 用樹皮 時(shí)間: 2025-3-25 17:45
,Ressourcen und Ereignisse überwachen,are a lot of applications in which the order of state changes of an object over time determines its membership to a certain pattern, or class. In these cases, for the correct recognition of objects it is very important not only to consider properties of objects at a certain moment in time but also t作者: 門閂 時(shí)間: 2025-3-25 21:07 作者: 6Applepolish 時(shí)間: 2025-3-26 03:58 作者: Dysplasia 時(shí)間: 2025-3-26 05:00
https://doi.org/10.1007/978-3-540-47857-7sters so that objects belonging to any one of the clusters would be as similar as possible and objects of different clusters as dissimilar as possible. The most important problem arising in this context is the choice of a relevant similarity measure, which is then used for the definition of the clus作者: 有角 時(shí)間: 2025-3-26 10:57
https://doi.org/10.1007/978-3-540-47857-7nsidered in this chapter. The first example taken from credit industry and presented in Section 6.1 is concerned with the problem of bank customer segmentation based on customers’ behavioural data. After a description of the credit data of bank customers and the formulation of the goals of the analy作者: 熱心助人 時(shí)間: 2025-3-26 14:07
Schnelle numerische lineare Algebrage number of applications where for a correct recognition of structure in data the consideration of the temporal development of objects over time is required, for instance state-dependent machine maintenance and diagnosis, the analysis of bank customers’ behaviour for the evaluation of their creditw作者: Aerophagia 時(shí)間: 2025-3-26 18:59
Book 2001rful in pattern recognition andconsiders the entire process of dynamic pattern recognition. This booksets a general framework for Dynamic Pattern Recognition, describingin detail the monitoring process using fuzzy tools and the adaptationprocess in which the classifiers have to be adapted, using the作者: Hiatal-Hernia 時(shí)間: 2025-3-26 22:48
1382-3434 very powerful in pattern recognition andconsiders the entire process of dynamic pattern recognition. This booksets a general framework for Dynamic Pattern Recognition, describingin detail the monitoring process using fuzzy tools and the adaptationprocess in which the classifiers have to be adapted,作者: BIBLE 時(shí)間: 2025-3-27 01:50 作者: TOXIC 時(shí)間: 2025-3-27 06:17
https://doi.org/10.1007/978-3-540-47857-7tering criterion. The notion of similarity depends on the mathematical properties of the data set (e.g. mutual distance, angle, curvature, symmetry, connectivity etc.) and on the semantic goal of a specific application.作者: Expand 時(shí)間: 2025-3-27 12:38
Similarity Concepts for Dynamic Objects in Pattern Recognition,tering criterion. The notion of similarity depends on the mathematical properties of the data set (e.g. mutual distance, angle, curvature, symmetry, connectivity etc.) and on the semantic goal of a specific application.作者: Humble 時(shí)間: 2025-3-27 17:25 作者: cultivated 時(shí)間: 2025-3-27 17:47 作者: 金桌活畫面 時(shí)間: 2025-3-27 23:18 作者: 清楚說話 時(shí)間: 2025-3-28 04:53 作者: 真繁榮 時(shí)間: 2025-3-28 07:53 作者: 生銹 時(shí)間: 2025-3-28 14:29
