中文摘要：

针对ICM模型用于目标识别参数需要人工设置的问题,提出一种新的ICM模型参数设置方法。该方法从提高目标识别率出发,提出利用相关系数确定ICM模型参数学习准则,使用梯度下降法对这一准则进行求解,达到根据输入图像的不同自适应确定ICM模型参数的目的。实验结果表明该方法可以很好解决传统ICM网络参数需要人工选取的劣势。

英文摘要：

In identifiying targets,the parameters of the ICM model need to be set manually.So we propose what we believe to be a new and effective method for setting the parameters,which is explained in sections 1 and 2 of the full paper.Section 1 briefs the ICM.Subsections 2.1 deals with the error function,which is based on correlation coefficients,and the ICM parameteer setting procedures based on gradient descent;subsection 2.2 gives a 3-step calculation procedure for adaptively setting the ICM parameters in accordance with different input images.Section 3 uses three numerical examples to verify the effectiveness of our method;the simulation results,given in Figs.1 through 3 and Tables 1 and 2,and their analysis show preliminarily that our new method has slightly higher target recognition rate than the method mentioned in Ref.11 and can indeed effectively set the ICM parameters and enhance the reliability and efficiency of the ICM.