基于小数据集的神经网络模型

6th Seminar on Neural Network Applications in Electrical Engineering Pub Date : 2002-12-10 DOI:10.1109/NEUREL.2002.1057977

P. Radonja, S. Stankovic

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引用次数: 5

摘要

在本文中，我们尝试使用基于神经网络的人工智能方法，从观测数据集中获得非线性过程的模型。在论文的第一部分，在小数据集的基础上，分析了六种不同的过程，并将其分为两组。然后，对得到的两组实测数据集生成相应的基于数据的模型。下面，在两个新的数据集上对所提出的模型进行了测试。

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Neural network models based on small data sets

In this paper, we attempt, using an artificial intelligence method based on neural networks, to obtain a model of a nonlinear process from observed datasets. In the first part of the paper, six different processes are analyzed on the basis of small data sets and divided into two groups. After that, the corresponding data-based models are generated for the obtained two groups of measured data sets. In the following, the proposed models are tested on two new data sets.

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6th Seminar on Neural Network Applications in Electrical Engineering

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