Falls Sie nur an einem bestimmten Exempar interessiert sind, können Sie aus der folgenden Liste jenes wählen, an dem Sie interessiert sind:
Nur diese Ausgabe anzeigen…
Nur diese Ausgabe anzeigen…
Temporally Distributed Symptoms in Technical Diagnosis (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
8 Angebote vergleichen
Preise | 2012 | 2013 | 2014 | 2015 | 2022 |
---|---|---|---|---|---|
Schnitt | Fr. 41.94 (€ 42.97)¹ | Fr. 34.81 (€ 35.67)¹ | Fr. 46.72 (€ 47.88)¹ | Fr. 42.57 (€ 43.62)¹ | Fr. 64.40 (€ 65.99)¹ |
Nachfrage |
Temporally Distributed Symptoms in Technical Diagnosis (Lecture Notes in Computer Science Lecture Notes in Artificial Intelligence)
ISBN: 9783540543169 bzw. 3540543163, in Deutsch, Springer, Berlin/Heidelberg, Deutschland, Taschenbuch, neu.
This item is printed on demand. Paperback. Complex machines can fail in complex ways. Often the nature of the fault can be determined only through the interpretation of machine behavior over time. This book presents a novel approach to the representation and recognition of temporally distributed symptoms. Existing diagnostic expert systems usually operate under a set of simplifying assumptions that limit their applicability. A common assumption is that the device to be diagnosed has a static behavior, with the relation between inputs and outputs constant over time. In most realistic application domains this assumption is violated and both the normal, intended function of the device and the potential malfunctions are complex behaviors over time. This book addresses the problem of systematically treating information about fault symptoms that are spread out over periods of time. These symptoms are characterized by a specific order of events, and in the general case a single snapshot of the device state does not suffice to recognize the symptoms. Instead one has to plan a measurement sequence that consists of several observations at more than one time point. Starting with a classification of various types of dynamic faulty behavior, the author identifies temporally distributed systems (TDSs) and designs a representation language that allows TDSs to be specified in a declarative manner. The definition of a successful match of a measurement sequence against a TDS specification is operationalized as an algorithm which plans such an observation sequence based on the TDS specification. The author demonstrates that his novel solution is a generic, paradigm-independent building block for diagnostic expert systems by embedding it into the frameworks of both an associative and a model-based diagnostic system. The book will be valuable both for researchers working on applications of temporal reasoning and prospective users of technical expert systems. This item ships from La Vergne,TN.
Temporally Distributed Symptoms in Technical Diagnosis (1991)
ISBN: 9783540543169 bzw. 3540543163, in Deutsch, Springer Jul 1991, Taschenbuch, neu, Nachdruck.
This item is printed on demand - Print on Demand Titel. Neuware - Complex machines can fail in complex ways. Often the nature of the fault can be determined only through the interpretation of machine behavior over time. This book presents a novel approach to the representation and recognition of temporally distributed symptoms. Existing diagnostic expert systems usually operate under a set of simplifying assumptions that limit their applicability. A common assumption is that the device to be diagnosed has a static behavior, with the relation between inputs and outputs constant over time. In most realistic application domains this assumption is violated and both the normal, intended function of the device and the potential malfunctions are complex behaviors over time. This book addresses the problem of systematically treating information about fault symptoms that are spread out over periods of time. These symptoms are characterized by a specific order of events, and in the general case a single snapshot of the device state does not suffice to recognize the symptoms. Instead one has to plan a measurement sequence that consists of several observations at more than one time point. Starting with a classification of various types of dynamic faulty behavior, the author identifies temporally distributed systems (TDSs) and designs a representation language that allows TDSs to be specified in a declarative manner. The definition of a successful match of a measurement sequence against a TDS specification is operationalized as an algorithm which plans such an observation sequence based on the TDS specification. The author demonstrates that his novel solution is a generic, paradigm-independent building block for diagnostic expert systems by embedding it into the frameworks of both an associative and a model-based diagnostic system. The book will be valuable both for researchers working on applications of temporal reasoning and prospective users of technical expert systems. 180 pp. Englisch.
Temporally Distributed Symptoms in Technical Diagnosis
ISBN: 9783540543169 bzw. 3540543163, vermutlich in Englisch, Springer Nature, Taschenbuch, neu.
Complex machines can fail in complex ways. Often the nature of the fault can be determined only through the interpretation of machine behavior over time. This book presents a novel approach to the representation and recognition of temporally distributed symptoms. Existing diagnostic expert systems usually operate under a set of simplifying assumptions that limit their applicability. A common assumption is that the device to be diagnosed has a static behavior, with the relation between inputs and outputs constant over time. In most realistic application domains this assumption is violated and both the normal, intended function of the device and the potential malfunctions are complex behaviors over time. This book addresses the problem of systematically treating information about fault symptoms that are spread out over periods of time. These symptoms are characterized by a specific order of events, and in the general case a single snapshot of the device state does not suffice to recognize the symptoms. Instead one has to plan a measurement sequence that consists of several observations at more than one time point. Starting with a classification of various types of dynamic faulty behavior, the author identifies temporally distributed systems (TDSs) and designs a representation language that allows TDSs to be specified in a declarative manner. The definition of a successful match of a measurement sequence against a TDS specification is operationalized as an algorithm which plans such an observation sequence based on the TDS specification. The author demonstrates that his novel solution is a generic, paradigm-independent building block for diagnostic expert systems by embedding it into the frameworks of both an associative and a model-based diagnostic system. The book will be valuable both for researchers working on applications of temporal reasoning and prospective users of technical expert systems. Soft cover.
Temporally Distributed Symptoms in Technical Diagnosis
ISBN: 9783540475538 bzw. 3540475532, vermutlich in Englisch, Springer Nature, neu, E-Book, elektronischer Download.
Complex machines can fail in complex ways. Often the nature of the fault can be determined only through the interpretation of machine behavior over time. This book presents a novel approach to the representation and recognition of temporally distributed symptoms. Existing diagnostic expert systems usually operate under a set of simplifying assumptions that limit their applicability. A common assumption is that the device to be diagnosed has a static behavior, with the relation between inputs and outputs constant over time. In most realistic application domains this assumption is violated and both the normal, intended function of the device and the potential malfunctions are complex behaviors over time. This book addresses the problem of systematically treating information about fault symptoms that are spread out over periods of time. These symptoms are characterized by a specific order of events, and in the general case a single snapshot of the device state does not suffice to recognize the symptoms. Instead one has to plan a measurement sequence that consists of several observations at more than one time point. Starting with a classification of various types of dynamic faulty behavior, the author identifies temporally distributed systems (TDSs) and designs a representation language that allows TDSs to be specified in a declarative manner. The definition of a successful match of a measurement sequence against a TDS specification is operationalized as an algorithm which plans such an observation sequence based on the TDS specification. The author demonstrates that his novel solution is a generic, paradigm-independent building block for diagnostic expert systems by embedding it into the frameworks of both an associative and a model-based diagnostic system. The book will be valuable both for researchers working on applications of temporal reasoning and prospective users of technical expert systems. eBook.
Temporally Distributed Symptoms in Technical Diagnosis (2014)
ISBN: 9783540543169 bzw. 3540543163, in Deutsch, SPRINGER VERLAG GMBH 01/08/2014, Taschenbuch, neu.
New Book. This item is printed on demand. Shipped from UK. This item is printed on demand.
Temporally Distributed Symptoms in Technical Diagnosis (Lecture Notes in. K. Lecture notes in computer science
ISBN: 3540543163 bzw. 9783540543169, in Deutsch, Berlin , Heidelberg , New York , London , Paris , Tokyo , Hong Kong , Barcelona , Budapest : Springer, 1991. gebraucht.
Von Händler/Antiquariat, Mosakowski & Stiasny GbR, [94444].
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Temporally Distributed Symptoms in Technical Diagnosis
ISBN: 9783540475538 bzw. 3540475532, in Deutsch, Springer Nature, neu, E-Book.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen