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Method of constructing a prediction model to predict the quality of cells, blog ram for the construction of the prediction model, recording medium recording the program, for the construction of the prediction model equipment

机译:构造用于预测细胞质量的预测模型的方法,用于构建预测模型的Blog ram,用于记录程序的记录介质,用于构建预测模型的设备

摘要

PPROBLEM TO BE SOLVED: To provide an information-treating model for predicting a quality on the culture of cells. PSOLUTION: This method for constructing a prediction model for predicting the quality of cells comprises (1) a step for preparing two or more samples obtained culturing the same kinds of cells; (2) a step for photographing the cells of the samples to obtain the images, respectively, at two or more time points (predicted times) different in culture times; (3) a step for analyzing the images obtained in the step (2) to produce numeral value data on two or more indexes related to the forms of the cells; (4) a step for preparing the measured data of predicted targets for each sample; and (5) a step for subjecting the numeral value data produced in the step (3) as input values and the measured data prepared in the step (4) as teacher values to a fuzzy neural network analysis to calculate output values on the basis of a fuzzy rule exhibiting an index combination effective to prediction. PCOPYRIGHT: (C)2009,JPO&INPIT
机译:

要解决的问题:提供一种预测细胞培养质量的信息处理模型。

解决方案:这种用于构建预测细胞质量的预测模型的方法包括:(1)准备两个或两个以上培养相同种类细胞的样品的步骤; (2)在培养时间不同的两个以上的时间点(预测时间)分别拍摄样品的细胞而得到图像的步骤。 (3)分析在步骤(2)中获得的图像以在与单元格形式有关的两个或多个索引上产生数值数据的步骤; (4)准备各样品的预测目标的测定数据的步骤。 (5)对步骤(3)中产生的数值数据作为输入值,将步骤(4)中制备的测量数据作为教师值进行模糊神经网络分析,基于以下步骤计算输出值的步骤:表现出对预测有效的索引组合的模糊规则。

版权:(C)2009,日本特许厅&INPIT

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