메뉴 건너뛰기




Volumn 419, Issue 1-2, 2006, Pages 214-217

BP neural network prediction of the mechanical properties of porous NiTi shape memory alloy prepared by thermal explosion reaction

Author keywords

BP neutral network; Mechanical properties; Porous NiTi SMA; Process parameters; Thermal explosion

Indexed keywords

DENSITY (SPECIFIC GRAVITY); EXPLOSIONS; HEATING; MATHEMATICAL MODELS; MECHANICAL PROPERTIES; NEURAL NETWORKS; PARTICLE SIZE ANALYSIS; POROUS MATERIALS; SHAPE MEMORY EFFECT; THERMAL EFFECTS;

EID: 33644908017     PISSN: 09215093     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.msea.2005.12.027     Document Type: Article
Times cited : (83)

References (18)
  • 14
    • 0345925740 scopus 로고    scopus 로고
    • Study on the neural network model of metal flow stress: Ph.D.'s Dissertation
    • University of Science and Technology, Beijing
    • C. Jun, Study on the neural network model of metal flow stress: Ph.D.'s Dissertation. University of Science and Technology, Beijing, 1997.
    • (1997)
    • Jun, C.1
  • 18
    • 85161743556 scopus 로고    scopus 로고
    • Microstructure and properties of porous Ni-Ti shape memory alloys prepared by self-propagating high-temperature synthesis
    • Ph.D.'s Dissertation Institute of Metal Research, Chinese Academy of Science, Shenyang
    • L. Bingyun, Microstructure and properties of porous Ni-Ti shape memory alloys prepared by self-propagating high-temperature synthesis. Ph.D.'s Dissertation. Institute of Metal Research, Chinese Academy of Science, Shenyang, 2000.
    • (2000)
    • Bingyun, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.