所以我尝试使用 Excel VBA 编写一个基本的人工神经网络。我特别关注一个例子:
https://www.analyticsvidhya.com/blog/2017/05/neural-network-from-scratch-in-python-and-r/
我的代码基于本文中的 Python 示例(代码示例位于文章底部)。不幸的是,我无法访问 Python,所以我尝试使用 VBA 来完成此操作。我已尽力将代码转换为 Excel 可用的格式,但是我遇到了一个问题,并且不确定如何解决:
这是我的 VBA 代码:
Sub ANN()
Dim X(1010, 1011, 101) As Integer 'Input
Dim Y(1, 1, 0) As Double 'output for comparison
Dim E(0, 0, 0) As Double 'Error
'Variable Initialization
Dim Epoch As Long
Dim LearnRate As Double
Dim InputLayer_Neurons() As Integer 'Number of Features in data set
ReDim InputLayer_Neurons(ArrayLen(X))
Dim HiddenLayer_Neurons As Integer
Dim Output_Neurons As Integer
Dim hidden_layer_input1 As Variant
Dim hidden_layer_input As Variant
Dim hiddenlayer_activations As Variant
Dim output_layer_input1 As Variant
Dim output_layer_input As Variant
Dim slope_output_layer As Variant
Dim slope_hidden_layer As Variant
Dim d_output As Variant
Dim Output As Variant
Dim Wh As Double 'Weight Hidden Layer
Dim Bh As Double 'Bias Hidden Layer
Dim Wout As Double 'Weight output Layer
Dim Bout As Double 'Bias Ouput layer
Dim i As Long
Epoch = 5000 'Training Iterations
LearnRate = 0.1 'Learning Rate
HiddeLayer_Neurons = 3 'Number of Neurons in Hidden Layer
Output_Neurons = 1 'Number of Neurons at output layer
'Weight & Bias Initialization
Wh = Application.WorksheetFunction.RandBetween(InputLayer_Neurons, HiddenLayer_Neurons)
Bh = Application.WorksheetFunction.RandBetween(1, HiddenLayer_Neurons)
Wout = Application.WorksheetFunction.RandBetween(HiddenLayer_Neurons, Output_Neurons)
Bout = Application.WorksheetFunction.RandBetween(1, Output_Neurons)
For i = 0 To Epoch
'Forward Propagation
hidden_layer_input1 = WorksheetFunction.MMult(X, Wh)
hidden_layer_input = hidden_layer_input1 + Bh
hiddenlayer_activations = Sigmoid_Activation(hidden_layer_input)
output_layer_input1 = WorksheetFunction.MMult(hiddenlayer_activations, Wout)
output_layer_input = output_layer_input1 + Bout
Output = Derivatives_Sigmoid(output_layer_input)
'Backpropagation
E = Y - Output
slope_output_layer = Derivatives_Sigmoid(Output)
slope_hidden_layer = Derivatives_Sigmoid(hiddenlayer_activations)
d_output = E * slope_output_layer
Error_at_hidden_layer = WorksheetFunction.MMult(d_output, Transpose(Wout))
d_hiddenlayer = Error_at_hidden_layer * slope_hidden_layer
Wout = Wout + WorksheetFunction.MMult(Transpose(hiddenlayer_activations), d_output) * LearnRate
Bout = Bout + WorksheetFunction.Sum(d_ouput) * LearnRate
Wh = Wh + WorksheetFunction.MMult(Transpose(X), d_hiddenlayer) * LearnRate
Bh = Bh + WorksheetFunction.Sum(d_hiddenlayer) * LearnRate
Next
Debug.Print Output
End Sub
Function Sigmoid_Activation(X) As Variant
Sigmoid_Activation = 1 / (1 + Application.WorksheetFunction.Power(-X))
End Function
Function Derivatives_Sigmoid(X) As Double
Derivatives_Sigmoid = X * (1 - X)
End Function
Public Function ArrayLen(arr As Variant) As Integer
ArrayLen = UBound(arr) - LBound(arr) + 1
End Function
我的问题是:
在反向传播下的部分。我收到类型不匹配错误:
E = Y – Output
我想这是因为在 VBA 中没有内置函数用于从数组 (Y) 中减去 Double 类型值 (输出)。尽管输出被声明为变体,但我相信它将保存的值将包含浮点值。我不确定这是否是冲突的原因。不过,您似乎可以在 Python 中执行此操作,这可能就是它用于科学计算的原因。
无论如何,解决这个问题的最佳方法是什么?
最佳答案
遗憾的是,VBA 不支持对数组进行直接操作。相反,你必须循环:(
如果你真的想用 VBA 来做,你可以看看这个 CodeReview post 。
如果您想使用 Excel 来完成此操作,但无法接受 VBA 的限制,有一些 Python 工具允许使用 Python 对 Excel 进行编程。快速搜索将为您提供大量内容,包括 https://www.xlwings.org/这已经在我的要尝试的事情 list 上太久了。
关于excel - 在 Excel 中编写 ANN : VBA Type Mismatch Error,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/53499503/