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jueceshu-matlab

于 2020-06-16 发布
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下载积分: 1 下载次数: 8

代码说明:

说明:  使用ID3决策树算法预测销量高低,对数据进行预处理,最终打印并画决策树(Using ID3 Decision Tree to Predict Sales)

文件列表:

jueceshu-matlab\id3.m, 4297 , 2019-03-19
jueceshu-matlab\ID3_decision_tree.m, 416 , 2019-03-19
jueceshu-matlab\id3_preprocess.m, 2998 , 2019-03-19
jueceshu-matlab\print_tree.m, 1627 , 2019-03-19
jueceshu-matlab\queue_curr_size.m, 102 , 2019-03-19
jueceshu-matlab\queue_pop.m, 229 , 2019-03-19
jueceshu-matlab\queue_push.m, 147 , 2019-03-19
jueceshu-matlab\tree_plot.m, 613 , 2019-03-19
jueceshu-matlab\zhonghe.m, 300 , 2019-03-19
jueceshu-matlab, 0 , 2019-03-21

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    说明:  模型预测电流控制其控制思想基于以下原理:首先,功率变换器产生的开关状态个数有限,且通过建立模型可以预测每一个开关状态下被控变量的对应变化特性;其次,定义价值函数评价被控变量的预测值,为判别最优有限开关状态提供依据;最后,计算出每一种开关状态下的价值函数值,以此评价每一种开关状态下被控变量预测值的优劣,选择出最优的开关状态并应用。(The control idea of model predictive current control is based on the following principles: firstly, the number of switching states produced by power converter is limited, and the strain characteristics of controlled variables under each switching state can be predicted by establishing a model; secondly, the value function is defined to evaluate the predicted values of controlled variables, which provides a basis for judging the optimal finite switching state; lastly, the optimal finite switching state is calculated. The value function value under switching state is used to evaluate the predicted value of controlled variables under each switching state, and the optimal switching state is selected and applied.)
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    说明:  基于神经网络的模糊控制实例,包括中央空调、锅炉系统等(Examples of fuzzy control based on MATLAB, including central air conditioning, boiler system, etc)
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