【摘要】 利用最优线性联想记忆(OLAM)神经网络方法对水泥生料样品X荧光谱进行了分析,学习谱的选择采用了两种方式:单质谱学习和混合谱学习。对这两种方式及输出结果作了对比,单质谱学习可以构建模拟谱,用于对谱漂移和漏学习的判别;混合谱学习具有信息容量大,考虑了基体效应的优点,但是学习谱之间的多重相关性可能对结果造成一定影响。更多还原

【Abstract】 It uses OLAM artificial neural network to analyze the samples of cement raw material.Two kinds of spectrums are used for network learning: pure-element spectrum and mix-element spectrum.The output of pure-element method can be used to construct a simulate spectrum,which can be compared with the original spectrum and judge the shift of spectrum;the mix-element method can store more message and correct the matrix effect,but the multicollinearity among spectrums can cause some side effect to the results.更多还原