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目的:运用强化学习!多分类器集成!降维方法等最新计算机技术,结合细胞病理知识,设计制作/智能化肺癌细胞病理图像诊断系统0"方法:采集细胞图像,运用基于强化学习的图像分割法将细胞区域从背景中分离出来 运用基于样条和改进2方法对重叠细胞进行分离和重构 提取40个细胞特征用于贝叶斯!支持向量机!紧邻和决策树4种分类器,集成产生肺癌细胞分类结果 建立肺癌细胞病理图库,运用基于等降维方法对细胞进行比对,给予未定型癌细胞分类"结果:/智能化肺癌细胞病理诊断系统0应用于临床随机1200例肺
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为了准确地对监控场景中的运动目标进行语义上的分类，提出了一种基于聚类的核主成分分析梯度方向直方图和二又决策树支持向量机的运动目标分类算法。-In order to accurately monitor the movement of scene targets semantic classification, the clustering based on kernel principal component analysis of gradient direction histograms,
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ID3源码，讲述决策树ID3算法的内容，希望能给大家提供一点帮助，给予支持-ID3-source, on the decision tree algorithm ID3 contents in the hope that everyone can provide a little help, to support
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多Agent系统的理论与技术，为分布式开放系统的分析、设计和实现提供了一条崭新的途径。然而随着相关领域高新技术的迅猛发展，多Agent系统的运行环境日益趋于大型、开放、动态和不确定，迫切需要采用各种智能技术来构建具有自学习能力的Agent，为多Agent系统引入学习机制使其更好地适应复杂环境，从而导致了多Agent系统学习这一新兴研究领域的产生和迅速发展。多Agent系统学习包括采用机器学习等方法从积累的信息或数据中学习用于支持决策的知识，以及为建立多Agent协作、协调和竞争等机制而进行的对
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本文研究了导弹作战战场雷达电磁环境仿真的设计与实现问题，建立了雷达电磁环境的数学模型和信号威胁等级识别模型，提出了一种可视化系统设计方法，在运用可视化技术的基础上，结合雷达数据库的建立，实现了导弹战场雷达电磁态势显示，其结果有助于战场指挥员快速理解战场电磁态势，为作战指挥提供相应的辅助决策支持.
-In this paper, radar, missile combat battlefield environment simulation of electromagnetic design
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完整的决策支持系统和专家系统实验 在VB6和Access2003环境实现-Integrated decision support systems and expert system environment for experimental realization in VB6 and Access2003
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基于支持向量机的非线性分类方法可以再不同的情况下选取相应的最佳专家决策。-Non-linear support vector machine based classification can then select appropriate under different circumstances the best experts in decision-making.
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Rough set theory can be regarded as a new mathematical tool for imperfect data analysis.The theory has found applications in many domains,such as decision support, engineering, environment, banking, medicine and others.
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describing FSVM.learns the decision surface two distinct classes of the input points.In many applications,each input point may not be fully assigned to one of these two classes. In this paper, we apply a fuzzy membership to each input point and refor
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Business cycle predictions face various sources of uncertainty and imprecision. The uncertainty is usually linguistically determined by the beliefs of decision makers. Thus, the fuzzy set theory is ideally suited to depict vague and uncertain feature
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经典的书，李航讲的统计学习方法，里面主要涉及监督学习方法，感知机、K邻近法、决策树、支持向量机等-Classic book, statistical learning methods Li Hang speak, which is mainly involved in supervised learning method, Perceptron, K neighboring France, decision trees, support vector machine
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ntroduces the concept and features of the smart grid, detailed analysis of the research progress of the smart grid, a key focus on the relationship between technology and the smart grid are analyzed and discussed, pointing out Agent-based distributed
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