共 31 条
- [21] Modeling the correlation between heat treatment, chemical composition and bainite fraction of pipeline steels by means of artificial neural networks 1600, Institute of Computer Science Izhevsk (23):
- [23] Retraction Note: Modeling the correlation between Charpy impact energy and chemical composition of functionally graded steels by artificial neural networks Neural Computing and Applications, 2020, 32 : 17817 - 17817
- [24] RETRACTED ARTICLE: Modeling the correlation between Charpy impact energy and chemical composition of functionally graded steels by artificial neural networks Neural Computing and Applications, 2019, 31 : 707 - 721
- [25] RETRACTED: Modeling the correlation between Charpy impact energy and chemical composition of functionally graded steels by artificial neural networks (Retracted Article) NEURAL COMPUTING & APPLICATIONS, 2019, 31 (Suppl 2): : 707 - 721
- [27] CORRELATION BETWEEN THE CHEMICAL AND MINERALOGICAL COMPOSITION AND THE REDUCIBILITY OF MANGANESE ORE MATERIALS .1. SPECIFIC FEATURES OF GENESIS AND STATE OF INITIAL MANGANESE ORES RUSSIAN METALLURGY, 1991, (03): : 8 - 14
- [29] RETRACTION: Modeling the correlation between Charpy impact energy and chemical composition of functionally graded steels by artificial neural networks (Retraction of Vol 31, Pg S 707, 2019) NEURAL COMPUTING & APPLICATIONS, 2020, 32 (23): : 17817 - 17817
- [30] The exact measurement of the specific heats of solid substances between 0 degrees and 1625 degrees CVI On the law of Neumann-Joule-Kopp-Regnault concerning the molecular heat of chemical compounds in function of the atomic heats PROCEEDINGS OF THE KONINKLIJKE AKADEMIE VAN WETENSCHAPPEN TE AMSTERDAM, 1932, 35 (1/5): : 352 - 362