Matches in SemOpenAlex for { <https://semopenalex.org/work/W66657531> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W66657531 endingPage "234" @default.
- W66657531 startingPage "208" @default.
- W66657531 abstract "In this chapter the problem of identing events in dynamic processes (e.g., faults, anomalous behaviours, etc.) is tackled with soft computing techniques aimed at the classification of the process transients generated by such events. A review of previous work is followed by a discussion of several alternative designs and models which employ both fuzzy and neural systems. These have been developed during an ongoing reserch program which was initiated by the need of finding new principled methods to perform alarm structuring/suppression in a nuclear power plant alarm system. This initial goal was soon expanded beyond alarm handling, to include diagnostic tasks in general. The application of these systems to domains other than NPPs was also taken into special consideration. A systematic study was carried out with the aim of comparing alternative neural network designs and models. Four main approaches have been investigated: radial basis function (RBF) neural networks and cascade-RBF neural networks combined with fuzzy clustering, self-organizing map neural networks, and recurrent neural networks. The main evaluation criteria adopted were: identification accuracy, reliability (i.e., correct recognition of an unknown event as such), robustness (to noise and to changing initial conditions), and real time performance. A series of initial tests on a small set of BWR transients was recently followed by more advanced tests on PWR transients corresponding to various occurrences of rapid load rejection events (plant islanding). The chapter is closed by a discussion of open issues and future directions for research and applications." @default.
- W66657531 created "2016-06-24" @default.
- W66657531 creator A5027870284 @default.
- W66657531 date "2000-01-01" @default.
- W66657531 modified "2023-09-26" @default.
- W66657531 title "Neural and Fuzzy Transient Classification Systems: General Techniques and Applications in Nuclear Power Plants" @default.
- W66657531 cites W1491488880 @default.
- W66657531 cites W1605251577 @default.
- W66657531 cites W1991848143 @default.
- W66657531 cites W2066445142 @default.
- W66657531 cites W2088658716 @default.
- W66657531 cites W2107878631 @default.
- W66657531 cites W2110485445 @default.
- W66657531 cites W2120688485 @default.
- W66657531 doi "https://doi.org/10.1007/978-3-7908-1866-6_10" @default.
- W66657531 hasPublicationYear "2000" @default.
- W66657531 type Work @default.
- W66657531 sameAs 66657531 @default.
- W66657531 citedByCount "0" @default.
- W66657531 crossrefType "book-chapter" @default.
- W66657531 hasAuthorship W66657531A5027870284 @default.
- W66657531 hasConcept C104317684 @default.
- W66657531 hasConcept C111919701 @default.
- W66657531 hasConcept C119857082 @default.
- W66657531 hasConcept C121332964 @default.
- W66657531 hasConcept C127413603 @default.
- W66657531 hasConcept C133731056 @default.
- W66657531 hasConcept C154945302 @default.
- W66657531 hasConcept C163258240 @default.
- W66657531 hasConcept C185544564 @default.
- W66657531 hasConcept C185592680 @default.
- W66657531 hasConcept C200601418 @default.
- W66657531 hasConcept C2779979336 @default.
- W66657531 hasConcept C41008148 @default.
- W66657531 hasConcept C50644808 @default.
- W66657531 hasConcept C55493867 @default.
- W66657531 hasConcept C58166 @default.
- W66657531 hasConcept C62520636 @default.
- W66657531 hasConcept C63479239 @default.
- W66657531 hasConcept C73555534 @default.
- W66657531 hasConcept C89227174 @default.
- W66657531 hasConcept C98045186 @default.
- W66657531 hasConceptScore W66657531C104317684 @default.
- W66657531 hasConceptScore W66657531C111919701 @default.
- W66657531 hasConceptScore W66657531C119857082 @default.
- W66657531 hasConceptScore W66657531C121332964 @default.
- W66657531 hasConceptScore W66657531C127413603 @default.
- W66657531 hasConceptScore W66657531C133731056 @default.
- W66657531 hasConceptScore W66657531C154945302 @default.
- W66657531 hasConceptScore W66657531C163258240 @default.
- W66657531 hasConceptScore W66657531C185544564 @default.
- W66657531 hasConceptScore W66657531C185592680 @default.
- W66657531 hasConceptScore W66657531C200601418 @default.
- W66657531 hasConceptScore W66657531C2779979336 @default.
- W66657531 hasConceptScore W66657531C41008148 @default.
- W66657531 hasConceptScore W66657531C50644808 @default.
- W66657531 hasConceptScore W66657531C55493867 @default.
- W66657531 hasConceptScore W66657531C58166 @default.
- W66657531 hasConceptScore W66657531C62520636 @default.
- W66657531 hasConceptScore W66657531C63479239 @default.
- W66657531 hasConceptScore W66657531C73555534 @default.
- W66657531 hasConceptScore W66657531C89227174 @default.
- W66657531 hasConceptScore W66657531C98045186 @default.
- W66657531 hasLocation W666575311 @default.
- W66657531 hasOpenAccess W66657531 @default.
- W66657531 hasPrimaryLocation W666575311 @default.
- W66657531 hasRelatedWork W1946857954 @default.
- W66657531 hasRelatedWork W2100769662 @default.
- W66657531 hasRelatedWork W2144809267 @default.
- W66657531 hasRelatedWork W2154355292 @default.
- W66657531 hasRelatedWork W2341622585 @default.
- W66657531 hasRelatedWork W2371062157 @default.
- W66657531 hasRelatedWork W2394386606 @default.
- W66657531 hasRelatedWork W2911618306 @default.
- W66657531 hasRelatedWork W3149389905 @default.
- W66657531 hasRelatedWork W1629725936 @default.
- W66657531 isParatext "false" @default.
- W66657531 isRetracted "false" @default.
- W66657531 magId "66657531" @default.
- W66657531 workType "book-chapter" @default.