百度作业网英语翻译Each case was run several times to evaluate different nu
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英语翻译
Each case was run several times to evaluate different number
of neurons in the model.The resultant MAPS for each case con-
sidering four,eight,and 12 neurons is shown in Table I.
It can be observed that the smallest error was about 23% for
cases using the momentum algorithm with a four-neuron net-
work and neglecting some extreme values.In general,this error
slightly increased for a higher number of neurons.These results,
indicating fairly high error values,cannot be compared to any
previous estimation since related reports found in the literature
using neural networks take the daily average of the price to train
and test the network eliminating the effect of the peaks [4],make
a prediction for short periods of time where no peaks are present
f5]一[10] or preprocess the peak prices to train with no peaks
[11].Some authors present a MAPS of about 12% under those
conditions.
These simulations were also carried out using a sigmoid
transfer function in the output layer resulting in small increases
in the MAPS values.For example,for cases la,1b,lc,and 1d
with four neurons,MAPS increased to 26.52,26.52,23.85,and
27.38,respectively.
Each case was run several times to evaluate different number
of neurons in the model.The resultant MAPS for each case con-
sidering four,eight,and 12 neurons is shown in Table I.
It can be observed that the smallest error was about 23% for
cases using the momentum algorithm with a four-neuron net-
work and neglecting some extreme values.In general,this error
slightly increased for a higher number of neurons.These results,
indicating fairly high error values,cannot be compared to any
previous estimation since related reports found in the literature
using neural networks take the daily average of the price to train
and test the network eliminating the effect of the peaks [4],make
a prediction for short periods of time where no peaks are present
f5]一[10] or preprocess the peak prices to train with no peaks
[11].Some authors present a MAPS of about 12% under those
conditions.
These simulations were also carried out using a sigmoid
transfer function in the output layer resulting in small increases
in the MAPS values.For example,for cases la,1b,lc,and 1d
with four neurons,MAPS increased to 26.52,26.52,23.85,and
27.38,respectively.
每一种情况下运行几次评价不同数量
神经元模型.由此产生的地图每一种情况下协商
站在4年,8年,和12个神经元是列于表一
可以看出,最小误差为约23 ％的
案件的势头算法使用了4个神经元网络
工作和忽视一些极端的价值观.一般来说,这个错误
稍有增加了较多的神经元.这些结果,
表明相当高的错误价值观,不能与任何
以往的估计,因为有关报告中发现的文献
利用神经网络的每日平均价格训练
和测试网络消除影响的高峰期[ 4 ] ,使
预测的很短的时间内如果没有山峰本
按F5 ]一[ 10 ]或预处理的高峰价格,火车没有高峰
[ 11 ] .有些作者提出了映射的约12 ％根据这些
条件.
这些模拟试验也进行了使用乙状结肠
传递函数在输出层造成小增加
在地图的价值.例如,对于案件香格里拉,1B款,立法会,和1D
有4个神经元,地图上升到26.52 ,26.52 ,23.85和
27.38分别.
神经元模型.由此产生的地图每一种情况下协商
站在4年,8年,和12个神经元是列于表一
可以看出,最小误差为约23 ％的
案件的势头算法使用了4个神经元网络
工作和忽视一些极端的价值观.一般来说,这个错误
稍有增加了较多的神经元.这些结果,
表明相当高的错误价值观,不能与任何
以往的估计,因为有关报告中发现的文献
利用神经网络的每日平均价格训练
和测试网络消除影响的高峰期[ 4 ] ,使
预测的很短的时间内如果没有山峰本
按F5 ]一[ 10 ]或预处理的高峰价格,火车没有高峰
[ 11 ] .有些作者提出了映射的约12 ％根据这些
条件.
这些模拟试验也进行了使用乙状结肠
传递函数在输出层造成小增加
在地图的价值.例如,对于案件香格里拉,1B款,立法会,和1D
有4个神经元,地图上升到26.52 ,26.52 ,23.85和
27.38分别.
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