论文部分内容阅读
用模式识别—人工神经网络结合化学键参数的方法,对一价金属卤化物熔盐系相图特征的规律进行了总结和预报,预报结果与实验符合。
Pattern recognition - artificial neural network combined with chemical bond parameters of the law of the phase diagram of the monovalent metal halide molten salt system were summarized and forecast, the forecast results in line with the experiment.