Matches in SemOpenAlex for { <https://semopenalex.org/work/W2068855963> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W2068855963 abstract "Back propagation (BP) neural network has widely application because of its ability of self-studying, self-adapting and generalization. But there are some intrinsic defaults, such as low convergence speed, local extremes and so on. Artificial fish-swarm algorithm (AFSA) is an up-to-date proposed optimal strategy, which possesses good capability to avoid the local extremum and obtain the global extremum. In order to improve the search efficiency of AFSA, Chaos system is introduced. A quantitative forecast method based on the BP network improved by chaos artificial fish-swarm algorithm is proposed in the paper. The model is trained with the freight data of a city and then used to forecast the freight. Compared the simulated results with BP network and BP network improved by other algorithm, it concludes that CAFSA-BPN has smaller error in forecasting. And it indicates that CAFSA has the capability of fast learning the weight of network and globally search, and the training speed of the improved BP network is greatly raised." @default.
- W2068855963 created "2016-06-24" @default.
- W2068855963 creator A5007178174 @default.
- W2068855963 creator A5078870362 @default.
- W2068855963 date "2008-01-01" @default.
- W2068855963 modified "2023-10-18" @default.
- W2068855963 title "Freight Prediction Based on BP Neural Network Improved by Chaos Artificial Fish-Swarm Algorithm" @default.
- W2068855963 cites W2348653395 @default.
- W2068855963 cites W2355181324 @default.
- W2068855963 cites W2381003982 @default.
- W2068855963 doi "https://doi.org/10.1109/csse.2008.247" @default.
- W2068855963 hasPublicationYear "2008" @default.
- W2068855963 type Work @default.
- W2068855963 sameAs 2068855963 @default.
- W2068855963 citedByCount "4" @default.
- W2068855963 countsByYear W20688559632012 @default.
- W2068855963 countsByYear W20688559632016 @default.
- W2068855963 crossrefType "proceedings-article" @default.
- W2068855963 hasAuthorship W2068855963A5007178174 @default.
- W2068855963 hasAuthorship W2068855963A5078870362 @default.
- W2068855963 hasConcept C11413529 @default.
- W2068855963 hasConcept C119857082 @default.
- W2068855963 hasConcept C134306372 @default.
- W2068855963 hasConcept C141934464 @default.
- W2068855963 hasConcept C154945302 @default.
- W2068855963 hasConcept C155032097 @default.
- W2068855963 hasConcept C162324750 @default.
- W2068855963 hasConcept C177148314 @default.
- W2068855963 hasConcept C181335050 @default.
- W2068855963 hasConcept C2777303404 @default.
- W2068855963 hasConcept C2779374083 @default.
- W2068855963 hasConcept C2909208804 @default.
- W2068855963 hasConcept C33923547 @default.
- W2068855963 hasConcept C38652104 @default.
- W2068855963 hasConcept C41008148 @default.
- W2068855963 hasConcept C50522688 @default.
- W2068855963 hasConcept C505870484 @default.
- W2068855963 hasConcept C50644808 @default.
- W2068855963 hasConcept C86803240 @default.
- W2068855963 hasConceptScore W2068855963C11413529 @default.
- W2068855963 hasConceptScore W2068855963C119857082 @default.
- W2068855963 hasConceptScore W2068855963C134306372 @default.
- W2068855963 hasConceptScore W2068855963C141934464 @default.
- W2068855963 hasConceptScore W2068855963C154945302 @default.
- W2068855963 hasConceptScore W2068855963C155032097 @default.
- W2068855963 hasConceptScore W2068855963C162324750 @default.
- W2068855963 hasConceptScore W2068855963C177148314 @default.
- W2068855963 hasConceptScore W2068855963C181335050 @default.
- W2068855963 hasConceptScore W2068855963C2777303404 @default.
- W2068855963 hasConceptScore W2068855963C2779374083 @default.
- W2068855963 hasConceptScore W2068855963C2909208804 @default.
- W2068855963 hasConceptScore W2068855963C33923547 @default.
- W2068855963 hasConceptScore W2068855963C38652104 @default.
- W2068855963 hasConceptScore W2068855963C41008148 @default.
- W2068855963 hasConceptScore W2068855963C50522688 @default.
- W2068855963 hasConceptScore W2068855963C505870484 @default.
- W2068855963 hasConceptScore W2068855963C50644808 @default.
- W2068855963 hasConceptScore W2068855963C86803240 @default.
- W2068855963 hasLocation W20688559631 @default.
- W2068855963 hasOpenAccess W2068855963 @default.
- W2068855963 hasPrimaryLocation W20688559631 @default.
- W2068855963 hasRelatedWork W1534282370 @default.
- W2068855963 hasRelatedWork W1971541091 @default.
- W2068855963 hasRelatedWork W2058422189 @default.
- W2068855963 hasRelatedWork W2068855963 @default.
- W2068855963 hasRelatedWork W2094470735 @default.
- W2068855963 hasRelatedWork W2348584318 @default.
- W2068855963 hasRelatedWork W2391384657 @default.
- W2068855963 hasRelatedWork W2989932438 @default.
- W2068855963 hasRelatedWork W4322618639 @default.
- W2068855963 hasRelatedWork W99077337 @default.
- W2068855963 isParatext "false" @default.
- W2068855963 isRetracted "false" @default.
- W2068855963 magId "2068855963" @default.
- W2068855963 workType "article" @default.