Matches in SemOpenAlex for { <https://semopenalex.org/work/W157035269> ?p ?o ?g. }
Showing items 1 to 73 of
73
with 100 items per page.
- W157035269 abstract "It is well known that expert systems are useful in capturing expertise and applying knowledge to chemical engineering problems such as diagnosis, process control, process simulation, and process analysis. Traditionally, expert system applications are limited to knowledge domains that are heuristic and involve only simple mathematics. Neural networks, however, represent an emerging technology capable of rapid recognition of patterned behavior without regard to mathematical complexity. Although useful in problem identification, neutral networks are not very efficient in pointing to in-depth solutions and typically do not promote a profound understanding of the problem or the reasoning behind its solutions. This paper explores the potential for expanding the scope of expert system applications by combining expert systems with neural networks. Any computer system that is partly an expert system and partly a neural network can be called a hybrid system. This pairing is a natural one because where one system falls short the other excels. Imprecise (or even incomplete) data can submitted to a neutral network for classification. Once these data are classified, the results are not always as precise as need dictates. It is at this point that the expert system can be invoked to do what it does best: takemore » definite and complete, but general, input and produce a definite and precise output. This paper presents a relatively new approach--one that expands the scope of artificial intelligence (AI) applications by combining expert systems and neural networks to form a hybrid system. A general methodology for developing hybrid systems is given. The methodology and merits of developing hybrid systems are illustrated through a case study.« less" @default.
- W157035269 created "2016-06-24" @default.
- W157035269 creator A5022403045 @default.
- W157035269 creator A5042600404 @default.
- W157035269 creator A5049059025 @default.
- W157035269 date "1991-01-01" @default.
- W157035269 modified "2023-09-27" @default.
- W157035269 title "Hybrid system for fault diagnosis using scanned input: A tutorial" @default.
- W157035269 hasPublicationYear "1991" @default.
- W157035269 type Work @default.
- W157035269 sameAs 157035269 @default.
- W157035269 citedByCount "1" @default.
- W157035269 crossrefType "journal-article" @default.
- W157035269 hasAuthorship W157035269A5022403045 @default.
- W157035269 hasAuthorship W157035269A5042600404 @default.
- W157035269 hasAuthorship W157035269A5049059025 @default.
- W157035269 hasConcept C102600418 @default.
- W157035269 hasConcept C111919701 @default.
- W157035269 hasConcept C116834253 @default.
- W157035269 hasConcept C119857082 @default.
- W157035269 hasConcept C154945302 @default.
- W157035269 hasConcept C173801870 @default.
- W157035269 hasConcept C199360897 @default.
- W157035269 hasConcept C2778012447 @default.
- W157035269 hasConcept C41008148 @default.
- W157035269 hasConcept C50644808 @default.
- W157035269 hasConcept C50897621 @default.
- W157035269 hasConcept C58328972 @default.
- W157035269 hasConcept C59822182 @default.
- W157035269 hasConcept C86803240 @default.
- W157035269 hasConcept C98045186 @default.
- W157035269 hasConceptScore W157035269C102600418 @default.
- W157035269 hasConceptScore W157035269C111919701 @default.
- W157035269 hasConceptScore W157035269C116834253 @default.
- W157035269 hasConceptScore W157035269C119857082 @default.
- W157035269 hasConceptScore W157035269C154945302 @default.
- W157035269 hasConceptScore W157035269C173801870 @default.
- W157035269 hasConceptScore W157035269C199360897 @default.
- W157035269 hasConceptScore W157035269C2778012447 @default.
- W157035269 hasConceptScore W157035269C41008148 @default.
- W157035269 hasConceptScore W157035269C50644808 @default.
- W157035269 hasConceptScore W157035269C50897621 @default.
- W157035269 hasConceptScore W157035269C58328972 @default.
- W157035269 hasConceptScore W157035269C59822182 @default.
- W157035269 hasConceptScore W157035269C86803240 @default.
- W157035269 hasConceptScore W157035269C98045186 @default.
- W157035269 hasLocation W1570352691 @default.
- W157035269 hasOpenAccess W157035269 @default.
- W157035269 hasPrimaryLocation W1570352691 @default.
- W157035269 hasRelatedWork W11821325 @default.
- W157035269 hasRelatedWork W1186655525 @default.
- W157035269 hasRelatedWork W1582227814 @default.
- W157035269 hasRelatedWork W1591369607 @default.
- W157035269 hasRelatedWork W1880503747 @default.
- W157035269 hasRelatedWork W2012750824 @default.
- W157035269 hasRelatedWork W2020824648 @default.
- W157035269 hasRelatedWork W2023731336 @default.
- W157035269 hasRelatedWork W2047597668 @default.
- W157035269 hasRelatedWork W20719251 @default.
- W157035269 hasRelatedWork W2106510922 @default.
- W157035269 hasRelatedWork W2115036265 @default.
- W157035269 hasRelatedWork W2123055626 @default.
- W157035269 hasRelatedWork W2317669476 @default.
- W157035269 hasRelatedWork W2887379502 @default.
- W157035269 hasRelatedWork W2896469049 @default.
- W157035269 hasRelatedWork W2963009116 @default.
- W157035269 hasRelatedWork W3150893716 @default.
- W157035269 hasRelatedWork W44670565 @default.
- W157035269 hasRelatedWork W770699591 @default.
- W157035269 isParatext "false" @default.
- W157035269 isRetracted "false" @default.
- W157035269 magId "157035269" @default.
- W157035269 workType "article" @default.