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卫星遥感农业监测系统中权重优化的实例修改算法
引用本文:臧晶,李成华. 卫星遥感农业监测系统中权重优化的实例修改算法[J]. 宇航学报, 2020, 41(1): 110-117. DOI: 10.3873/j.issn.1000-1328.2020.01.013
作者姓名:臧晶  李成华
作者单位:1. 沈阳农业大学工程学院,沈阳 110866;2. 沈阳理工大学信息科学与工程学院,沈阳 110159; 3. 沈阳理工大学机械工程学院,沈阳 110159
基金项目:国家自然科学基金(51075282,61471247,61501307);辽宁特聘教授项目;辽宁企业项目博士后资助;沈阳博士后基金资助;辽宁省一般项目(L201727);辽宁省教育厅高等学校基本科研项目(LG201708);辽宁省自然科学基金指导计划项目(20180550520)
摘    要:针对播种机设计过程需求获取的复杂性和可用性低等问题,采用遥感等技术动态监测土壤、农作物生长过程中的一些参数,以优化设计需求特征,并以此为基础,提出改进的混合权重实例修改算法。该算法以相似实例检索为前提,以相似实例集中的特征相似度、问题-解特征间的关联度、问题特征间的自相关度为因子,通过矩阵乘法来构造解特征混合权重矩阵,进行实例修改。将其应用到铲式播种机的数字化设计系统中,以实现智能设计。研究结果表明新算法能有效提高机械设计结果的可用性和准确度。

关 键 词:遥感  基于实例的设计  实例修改  混合权重  
收稿时间:2019-07-01

Case Adaptation Algorithm Based on Weight Optimization in Satellite Remote Sensing Monitoring System for Agriculture
ZANG Jing,LI Cheng hua. Case Adaptation Algorithm Based on Weight Optimization in Satellite Remote Sensing Monitoring System for Agriculture[J]. Journal of Astronautics, 2020, 41(1): 110-117. DOI: 10.3873/j.issn.1000-1328.2020.01.013
Authors:ZANG Jing  LI Cheng hua
Affiliation:1. College of Engineering, Shenyang Agricultural University, Shenyang 110866, China; 2. School of Information Science and Engineering, Shenyang Ligong University, Shenyang 110159, China; 3. School of Mechanical Engineering, Shenyang Ligong University, Shenyang 110159, China
Abstract:To solve the problems such as the complicated requirement acquisition and low requirement usability in the design process of intelligent planters, some parameters of crops and soil are monitored dynamically by use of the remote sensing and other technologies to optimize the design requirement features, and then a new case adaptation algorithm with improved hybrid weight is presented in this paper. In the new algorithm, to perform case adaptation using the principle of feature-based case adaptation (FCA), a hybrid weighted matrix is constructed by multiplying the similarity matrix of similar cases, the correlation coefficient matrix of problem-solution (P-S) features, and the pair-wise comparison matrix of problem-problem features on the basis of the retrieval of similarity cases. The proposed algorithm is applied to the digital design system of a spade planter to perform intelligent planter design. The results of the experiment indicate that the new case adaptation algorithm can achieve better adaptation performance than that of other adaptation methods, as evaluated in terms of the accuracy and the usability of the mechanical design results.
Keywords:Remote sensing  Case-based design  Case adaptation  Hybrid weight  
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