The invention provides a machine learning method, a forklift control method and a machine learning device, and aims to enable a forklift carrying goods to work practically early. The machine learningdevice (1) executes the following steps of 1, receiving the input of learning data of a first category group and evaluation data of a second category group; 2, extracting at least one category of learning data from the first category group, and using the extracted learning data to calculate a parameter for controlling an estimation model of the forklift (3); 3, extracting the evaluation data of atleast one category from the second category group, and evaluating the estimation model of the parameter calculated in the step 2 by using the extracted evaluation data; and 4, outputting, among the estimation models for which the parameters have been calculated in the step (2), an estimation model (M) for which the evaluation result in the step (3) is equal to or greater than a prescribed threshold value, and the category (operation category (Q)) of the evaluation data used in the evaluation of the estimation model (M).
提供一种机器学习方法、叉车控制方法及机器学习装置,目的是使进行货物搬运的叉车较早地实际工作。机器学习装置(1)执行:步骤1,受理第1类别群的学习数据及第2类别群的评价数据的输入;步骤2,从第1类别群中提取至少1个类别的学习数据,使用提取出的学习数据,计算用来控制叉车(3)的估算模型的参数;步骤3,从第2类别群中提取至少1个类别的评价数据,使用提取出的评价数据,对在步骤2中计算出参数的估算模型进行评价;以及步骤4,将在步骤2中计算出参数的估算模型中的步骤3中的评价结果是规定的阈值以上的估算模型M、和在估算模型M的评价中使用的评价数据的类别(运用类别Q)输出。
MACHINE LEARNING METHOD, FORKLIFT CONTROL METHOD, AND MACHINE LEARNING APPARATUS
机器学习方法、叉车控制方法及机器学习装置
2021-03-23
Patent
Electronic Resource
Chinese
IPC: | B25J Manipulatoren , MANIPULATORS / B66F HOISTING, LIFTING, HAULING, OR PUSHING, NOT OTHERWISE PROVIDED FOR, e.g. DEVICES WHICH APPLY A LIFTING OR PUSHING FORCE DIRECTLY TO THE SURFACE OF A LOAD , Hub-, Verhol- oder Schubvorrichtungen, soweit nicht anderweitig vorgesehen, z.B. Vorrichtungen mit unmittelbarer Krafteinwirkung auf die Last / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
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