因此,我正在尝试使用Excel VBA对基本的人工神经网络进行编程。我特别关注了一个例子:
https://www.analyticsvidhya.com/blog/2017/05/neural-network-from-scratch-in-python-and-r/
我已经将代码作为本文中Python示例的基础(代码示例位于本文的底部)。不幸的是,我无法使用Python,因此我正在尝试使用VBA进行此操作。我已尽力将代码转换为Excel可用格式,但是遇到了一个问题,我不确定如何解决:
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”部分。我在行上收到类型不匹配错误:
E = Y – Output
我想这是因为在VBA中没有内置函数可以从数组(Y)中减去Double类型值(Output)。即使Output被声明为变量,我相信它将持有的值将包含一个浮点值。我不确定这是否是冲突的原因。但是,您似乎可以在Python中执行此操作,这可能就是为什么将其用于科学计算的原因。
无论如何,解决此问题的最佳方法是什么?
答案 0 :(得分:1)
不幸的是,VBA不支持对阵列的直接操作。相反,您必须循环:(
如果您真的想使用VBA进行操作,则可以查看此CodeReview post。
如果您想使用Excel来执行此操作,但是不能满足VBA的限制,则可以使用一些Python工具来使用Python编写Excel。快速搜索将为您带来很多收益,其中包括https://www.xlwings.org/,这在我的可以尝试的东西列表中列出的时间过长。