1、

Secondly, according to the information about the inlets, the COD values of each monitoring point were predicted by NN method successfully, during which the over-fitting problem was solved by Bayesian automatic regularization technology.

其次,根据陆源入海水体的信息,成功地采用神经网络法预测监测站位的COD值,并采用Bayesian自动正则化技术解决了模型的过拟合问题;

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2、

Artificial Neural Networks Applied in the Analysis of Chemical Data(ⅰ)── Approximation for Trend and Over-fitting

人工神经网络用于化学数据解析的研究(Ⅰ)&逼近规律与过拟合

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3、

Due to the complication of the network, BP network could cause under-fitting or over-fitting results, so in general it is not easy to obtain the optimal model. As SVR can solve the above question, it can get the optimal model.

由于网络结构的复杂性,BP神经网络可能产生欠拟合或者过拟合现象,一般难以获取最佳模型;SVR则能较好地解决该问题,获得全局最优解。

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4、

And the SVR method can overcome the over-fit problem so as it is more suitable for the problem with few samples and many variables.

而且SVR方法可以克服BP网络过拟合的问题,更适于小样本高参量的问题。

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5、

And in contrary, if chosen too many, it will cause over-fit problem.

反之,若模型选择过多,将产生过适定问题。

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6、

Also the number of K Decreases exponentially, so generally it will not rise over-fit problem.

并且k的个数呈指数速度下降,因此通常不会产生过适定问题。

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7、

Fire in the current prediction methods, based on traditional statistical forecasting methods fire prediction errors exist, and based on neural network prediction methods exist smart "over-fit" and the promotion of capacity is not strong, such as disadvantage.

在目前火灾预测方法中,基于统计学的传统火灾预测方法存在预测误差较大,而基于神经网络的智能预测方法又存在过拟合和推广能力不强等缺点。

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8、

First, beware the managerial tendency to "over-fit the curve"& a statistical term that refers to the diminishing value of gathering additional data once you find a pattern.

首先,警惕管理层的“过拟合”倾向&统计学词汇“过拟合”指的是一旦模式已经发现,搜集更多数据的价值趋于下降。

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