【摘要】 抽取陶瓷原料特征参数 ,建立 3层BP人工神经网络模型 ,据此对陶瓷原料进行模式识别和分类。研究结果表明 :经该模型计算所得的分类结果和实际情况相吻合。该方法有助于在配方过程中遴选陶瓷原料 ,值得推广。更多还原

【Abstract】 Taking characteristic parameters of ceramic raw materials as identified rule,three layer back propagation artificial neural network was applied to the pattern recognition and classification of ceramic raw materials The results show that the classification of ceramic raw materials by artificial neural network agrees with the fact This method is useful to the choice of ceramic raw materials in batch,and is worth popularizing更多还原