We develop our research on fuzzy pattern recognition from three aspects : one is the technique of fuzzy pattern recognition based on modified templet method , another is the measure based on fuzzy clustering , and the third is fuzzy neural network 本文从三个方面开展对模糊模式识别方法的研究,即:基于改进样板法的模糊模式识别方法( fpls ) 、基于模糊聚类的识别方法和模糊神经网络( fnn )方法。
Firstly , we seriously analyzed the templet method and found the insufficiency . and the improved technique is integrated with pls regression , which leads to a new measure called fpls . and this method has great identify power on the chart of pyrolysis parameters of tarim basin 首先我们对样板法进行了认真的分析,找出了样板法的不足之处及改进方法,并将其与偏最小二乘回归相结合,得到了能有效提高以热解参数为特征指标的油气层识别精度的方法,称之为fpls法。