MOLTEN SALT PHASE DIAGRAMS CALCULATION USING ARTIFICIAL NEURAL NETWORK OR PATTERN RECOGNITION-BOND PARAMETERS PART3. ESTIMATION OF LIQUIDUS TEMPERATURE AND EXPERT SYSTEM

来源期刊：中国有色金属学报(英文版)1998年第3期

论文作者：Wang Xueye Qiu Guanzhou Wang Dianzuo Li Chonghe Chen Nianyi

文章页码：505 - 509

Key words：phase diagram calculation；　artificial neural network；　bond parameter；　molten salt system；　 expert system

Abstract: The temperatures of the liquidus lines or surfaces in some binary or ternary systems have been estimated using artificial neural network(ANN) with the chemical bond parameters of ions and the melting points, and using the compositions of the constituents as inputs and the properties of phase diagrams as outputs. The computerized values are in good agreement with the experimental ones. Moreover, an expert system has been built up, which consists of two parts, one is the database produced by the experimental data of the various known phase diagrams and chemical parameters for the retrieval of the features of the existing phase diagrams; the other is the knowledge base produced by the trained ANN for the estimation or prediction of some features of the unknown phase diagrams.