Matches in SemOpenAlex for { <https://semopenalex.org/work/W197589023> ?p ?o ?g. }
Showing items 1 to 73 of
73
with 100 items per page.
- W197589023 endingPage "1330" @default.
- W197589023 startingPage "1324" @default.
- W197589023 abstract "Neural networks are computational models inspired by the structure and operation of the brain. They are massively parallel systems, made up of a large number of highly interconnected, simple processing units. Signals travel along the interconnections between the processing units. Neural networks have capabilities ideally suited to application to civil engineering problems. The most important is their capability for learning from examples. Neural networks can learn complex associations in an unstructured environment. The knowledge acquired through learning is encoded in the interconnections of the neural network. Neural networks are adaptive models; they can easily acquire new information and modify the stored knowledge. As computational models neural networks are robust and noise and fault tolerant. These properties are important in Civil Engineering, where the problems are complex and the data is often scarce, incomplete or noisy. Neural networks have potential applications in a wide range of civil engineering problems, from construction management problems involving scheduling and allocation to problems of structural control, damage diagnostics and identification. Neural networks also have important applications in computational mechanics and material models." @default.
- W197589023 created "2016-06-24" @default.
- W197589023 creator A5012742749 @default.
- W197589023 date "1993-01-01" @default.
- W197589023 modified "2023-09-23" @default.
- W197589023 title "An Overview of the Potential Applications of Neural Networks in Civil Engineering" @default.
- W197589023 hasPublicationYear "1993" @default.
- W197589023 type Work @default.
- W197589023 sameAs 197589023 @default.
- W197589023 citedByCount "4" @default.
- W197589023 crossrefType "journal-article" @default.
- W197589023 hasAuthorship W197589023A5012742749 @default.
- W197589023 hasConcept C108583219 @default.
- W197589023 hasConcept C119857082 @default.
- W197589023 hasConcept C120314980 @default.
- W197589023 hasConcept C127413603 @default.
- W197589023 hasConcept C154945302 @default.
- W197589023 hasConcept C173079777 @default.
- W197589023 hasConcept C173608175 @default.
- W197589023 hasConcept C175202392 @default.
- W197589023 hasConcept C177973122 @default.
- W197589023 hasConcept C190475519 @default.
- W197589023 hasConcept C206729178 @default.
- W197589023 hasConcept C21547014 @default.
- W197589023 hasConcept C41008148 @default.
- W197589023 hasConcept C50644808 @default.
- W197589023 hasConcept C63540848 @default.
- W197589023 hasConcept C66024118 @default.
- W197589023 hasConceptScore W197589023C108583219 @default.
- W197589023 hasConceptScore W197589023C119857082 @default.
- W197589023 hasConceptScore W197589023C120314980 @default.
- W197589023 hasConceptScore W197589023C127413603 @default.
- W197589023 hasConceptScore W197589023C154945302 @default.
- W197589023 hasConceptScore W197589023C173079777 @default.
- W197589023 hasConceptScore W197589023C173608175 @default.
- W197589023 hasConceptScore W197589023C175202392 @default.
- W197589023 hasConceptScore W197589023C177973122 @default.
- W197589023 hasConceptScore W197589023C190475519 @default.
- W197589023 hasConceptScore W197589023C206729178 @default.
- W197589023 hasConceptScore W197589023C21547014 @default.
- W197589023 hasConceptScore W197589023C41008148 @default.
- W197589023 hasConceptScore W197589023C50644808 @default.
- W197589023 hasConceptScore W197589023C63540848 @default.
- W197589023 hasConceptScore W197589023C66024118 @default.
- W197589023 hasLocation W1975890231 @default.
- W197589023 hasOpenAccess W197589023 @default.
- W197589023 hasPrimaryLocation W1975890231 @default.
- W197589023 hasRelatedWork W1595984106 @default.
- W197589023 hasRelatedWork W1599900761 @default.
- W197589023 hasRelatedWork W1620092000 @default.
- W197589023 hasRelatedWork W1748542670 @default.
- W197589023 hasRelatedWork W1965229818 @default.
- W197589023 hasRelatedWork W1996216710 @default.
- W197589023 hasRelatedWork W1999843097 @default.
- W197589023 hasRelatedWork W2003422937 @default.
- W197589023 hasRelatedWork W2003756933 @default.
- W197589023 hasRelatedWork W2025544574 @default.
- W197589023 hasRelatedWork W2036800856 @default.
- W197589023 hasRelatedWork W2060085012 @default.
- W197589023 hasRelatedWork W2124503759 @default.
- W197589023 hasRelatedWork W2145883095 @default.
- W197589023 hasRelatedWork W2164933988 @default.
- W197589023 hasRelatedWork W2619529774 @default.
- W197589023 hasRelatedWork W2626199712 @default.
- W197589023 hasRelatedWork W3033959096 @default.
- W197589023 hasRelatedWork W432193662 @default.
- W197589023 hasRelatedWork W67644012 @default.
- W197589023 isParatext "false" @default.
- W197589023 isRetracted "false" @default.
- W197589023 magId "197589023" @default.
- W197589023 workType "article" @default.