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Estimating a property of a batch process using a non-parametric model

机译:使用非参数模型估算批处理的属性

摘要

A method and apparatus that generates an estimate of a property of a batch process uses a non-parametric model to generate a plurality of rate of reaction estimates 158 associated with the batch process. Each rate of reaction estimate may correspond, for example, to a particular time during the batch process. The plurality of rate of reaction estimates are then integrated to generate an estimate of a property of the batch at a particular time 162. The non-parametric model is a non-mathematical model and may be a neural network which is trained using a determined training record for the batch process. Differences between the actual and modelled properties of the batch process may be used to improve the model.
机译:生成批处理过程的特性的估计的方法和设备使用非参数模型来生成与批处理过程相关的多个反应率估计158。每个反应估计速率可以例如对应于分批过程中的特定时间。然后将多个反应速率估计值进行积分以在特定时间162生成批次性质的估计值。非参数模型是非数学模型,并且可以是使用确定的训练来训练的神经网络。批处理记录。批处理的实际属性与建模属性之间的差异可用于改进模型。

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