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效果的衡量

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First, the formal representation of the search environment is established, the multi-UAV is modeled as a controlled system and the predictive model of the system is presented. Considering the uncertainty of the sensor measurement and the environment, a Search Probability Map is defined and the updating method based on Bayes formula is presented. Based on SPM, information gain is defined to measure the search effects and used to be the optimization object in the predictive horizon. By using of GA, the solution of the optimization problem is got and it is taken as the input of the controlled system.

首先,建立搜索环境的规则描述,然后将多个UAV建模为一个控制系统,建立系统的预测模型,考虑到UAV传感器测量的不确定性和环境自身的不确定性,建立搜索概率图描述搜索环境的不确定性,给出了基于Bayes准则的搜索概率图更新方法,继而基于搜索概率图定义信息增益来衡量搜索效果,并将预测周期内的优化目标定为最大化信息增益,采用遗传算法进行求解,得到最优解作为被控系统的输入。

The thesis gives a macro explanation and grasp which is based on theoretical foundation, social surroundings and developing trend, explains the possibility and necessity of its appearance and discusses the developed process of its object which covers not only real property but also all asset. The author analyzes beneficial weight, systematic ideal and legal values, then clarifies that the legal system needs profound juristic basis. By using the method of comparative analysis, the author expounds the requirement of applicable conditions in other countries and analyzes its deficiencies in the Contract Law of Peoples Republic China. From the angle of legal effect after its application, the author analyzes the differences in rights and duties between legal nexus among them (the owner, the leasee, the leaser) and pure bargain relation, lease relation. The author thinks applicable range of the legal system may be enlarged and be analogized to financial lease and over the property of another. In the end, it puts forward the perfection suggestions of the legislation of the system of no break of lease with bargain.

本文首先从该制度产生的理论依据、社会背景以及发展趋势上,对其进行一个宏观了解和把握,说明其产生的可能性和必要性以及适用对象由不动产向一切财产转变的发展过程;其次通过利益衡量、制度理念、法律价值三个方面的分析,阐明该制度的存在有其深厚的法理学基础;又运用比较分析的方法,阐述各国在其适用条件上的要求,分析我国合同法有关此方面存在的缺陷;再就该制度适用后所产生的法律效果,分别分析三方(所有人、出租人、承租人)之中每两方之间的法律关系与单纯的买卖关系、租赁关系在权利义务上有何不同;然后将其适用范围扩大,类推适用于融资租赁和他物权;最后提出完善我国买卖不破租赁制度的立法上的建议。

At the first, the paper describes the importance and the present status of the application of wasteless mining in our country, and gives a special discussion for its conception ,research approaches, and some apply pathways for wasteless mining, then makes a brief description of decision-making and optimizing theories and methods applied in the paper's design and appraisal for the wasteless mining.

另外,为合理地控制采切时废料的混入,在采矿方法设计中还引入了衡量采准工作的采切废石混入率的标准与计算方法。采矿工艺过程的优化,主要是要设计选用最合适的采矿方案与最合适的采矿工艺。这是实现无废开采极为重要的一个方面,它直接影响着矿山的开采效益与无废开采效果。

First, the character clustering algorithm regards the character as our features and then it can cluster these sentences of our target words to the correct group without any other resources. The average precision is 66.1%. Second, in the concept clustering algorithm of the aggregate computing, we use HowNet as the knowledge base of our feature words and obtain the concepts of these words. We cluster the sentences which have the same or similar concepts of the feature words into the same group. And then we can complement some lacks of the character clustering algorithm. The average precision is 72.3%. Third, regarding the concept clustering algorithm of the sememe distance, we use the sememe distance to compute its concept similarity. It improved similarity measure of the concept clustering algorithm of the aggregate computing. It achieves 81% average precision and gets better cluster quality.

词形分群演算法不受语料资源限制,能将词形相似且词义相近的词汇所属的句子分到同一群,经过人工验证,得到了66.1%的平均正确率;基於集合计算的概念分群演算法使用了知网做为撷取特徵词汇的知识库,透过知网取得词汇的概念,将具相同或相似概念的特徵词汇所属的句子分成同一群,补足词形分群演算法的不足,得到72.3%的平均正确率;基於义原距离的概念分群演算法则利用义原间的距离计算特徵概念的相似度,进一步改善了基於集合计算的概念分群演算法在相似度衡量的问题,得到81%的平均正确率,达到更好的分群效果。

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