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박사 학위 과정에서 우리는 파이썬 스크립트로 OR, AND, XOR 연산을 계산하는 단일 뉴런 신경 회로망을 할당 받았다. 내 코드에서 나를 미치게 만드는 아주 이상한 오류가있다. 모든명백한 이유없이 변하는 변수
먼저 내가 Vector 클래스가 있습니다 둘째
class Vector3D: # Defines the Vector3D class
def __init__(self,bias,x,y): # Defines the variables for the Vector3D class
self.bias = bias
self.x = x
self.y = y
def __add__(self,other): # Defines the built-in "add" ("+") operation for Vector3D
return Vector3D(self.bias+other.bias,self.x+other.x,self.y+other.y)
def __mul__(self,other): # Defines the built-in "multipication" ("*") operation for Vector3D
if(isinstance(other,int)):
return Vector3D(self.bias * other, self.x * other, self.y * other)
else:
return Vector3D(self.bias * other.bias, self.x * other.x, self.y * other.y)
def __str__(self): # Defines the built-in string return value for Vector3D
return "Vector(%f,%f,%f)" % (self.bias, self.x, self.y)
def UpdateWeights(self,eta, targetOutput, currentOutput, valueX, valueY, valueBias): # Function for updating the weights
self.bias = self.bias + (eta * (targetOutput - currentOutput) * valueBias)
self.x = self.x + (eta * (targetOutput - currentOutput) * valueX)
self.y = self.y + (eta * (targetOutput - currentOutput) * valueY)
return Vector3D(self.bias,self.x, self.y)
def getX(self): # Function for getting the x value of a vector
return self.x
def getY(self): # Function for getting the y value of a vector
return self.y
def getBias(self): # Function for getting the bias value of a vector
return self.bias
을, 나는 신경 클래스가 있습니다
class Neuron: # Defines the Neuron class
def __init__(self, dataTable, eta, theta, targetArrayOr, targetArrayAnd, targetArrayXor): # Function for defining the variables for initialization
self.dataTable = dataTable
self.eta = eta
self.theta = theta
self.targetArrayOr = targetArrayOr
self.targetArrayAnd = targetArrayAnd
self.targetArrayXor = targetArrayXor
self.wVbias = random.uniform(-0.2, 0.2)
self.wVX = random.uniform(-0.2, 0.2)
self.wVY = random.uniform(-0.2, 0.2)
self.weightVector = Vector3D(self.wVbias,self.wVX,self.wVY)
self.weightVectorOr = Vector3D(0,0,0)
self.weightVectorAnd = Vector3D(0,0,0)
self.weightVectorXor = Vector3D(0,0,0)
def TrainForOr(self) : # Function training the weight vector for OR operation
iteration = 0 # Number of iterations
check = 0 # Initial value of the while loop
finalCheck = 200 # Final value of the while loop
targetReached = False # Boolean variable for if the target is reached
rowNb = 0 # Initial value of the index number in the data table
weightVector = self.weightVector # Initial weight vector
print(self.weightVector)
while check < finalCheck : # Makes sure that the entire loop runs 200 times for accuracy
while rowNb < len(self.dataTable) : # Makes sure every row is iterated
while targetReached == False:
D1dotW = DotProduct(self.dataTable[rowNb],weightVector) # Dot product of the input vector and the weight vector
if(D1dotW > self.theta):
currentOutput = 1
elif(D1dotW <= self.theta):
currentOutput = 0
if(currentOutput == self.targetArrayOr[rowNb]):
targetReached = True
else:
iteration = iteration + 1
print(self.weightVector)
weightVector = weightVector.UpdateWeights(self.eta,self.targetArrayOr[rowNb], currentOutput, self.dataTable[rowNb].getX(), self.dataTable[rowNb].getY(), self.dataTable[rowNb].getBias())
print(self.weightVector)
targetReached = False
targetReached = False
rowNb = rowNb + 1
check = check + 1
rowNb = 0
self.weightVectorOr = weightVector # Sets the OR weight vector
return "OR - Final weight vector is " + str(weightVector) + " " + "("+ str(iteration) + " iteration(s))"
나는 또한 AND 및 XOR 다른 방법이를하지만 그들은과 동일 사소한 변화와 함께 위.
이제 위의 코드 "오류"로 "작동"은 매우 작고 최종 결과를 변경하지 않습니다. 그러나 나는 그것이 왜 일어나는 지 이해하고 싶다.
weightVector = weightVector.UpdateWeights(self.eta,self.targetArrayOr[rowNb], currentOutput, self.dataTable[rowNb].getX(), self.dataTable[rowNb].getY(), self.dataTable[rowNb].getBias())
Vector(-0.051856,-0.099352,0.079270)
Vector(-0.051856,-0.099352,0.079270)
Vector(-0.001856,-0.099352,0.079270)
Vector(-0.001856,-0.099352,0.079270)
Vector(-0.001856,-0.099352,0.079270)
Vector(-0.001856,-0.099352,0.079270)
Vector(-0.001856,-0.099352,0.079270)
Vector(-0.001856,-0.099352,0.079270)
Vector(-0.001856,-0.099352,0.079270)
Vector(-0.001856,-0.099352,0.079270)
Vector(-0.001856,-0.099352,0.079270)
Vector(-0.001856,-0.099352,0.079270)
Vector(-0.001856,-0.099352,0.079270)
Vector(-0.001856,-0.099352,0.079270)
Vector(-0.001856,-0.099352,0.079270)
Vector(-0.001856,-0.099352,0.079270)
Vector(-0.001856,-0.099352,0.079270)
이 초기 self.weightVector이 라인에서 변화되는 것을 의미한다 : 나는이 (가) GUI 코드의 나머지 부분 등과 함께 위의 코드를 실행하면
, 나는 콘솔 결과를 얻을 수
UpdateWeights 메서드에서 어떤 식 으로든 self.weightVector을 변경하지 않기 때문에이 내용을 이해할 수 없습니다.
누군가가 왜 이런 일이 일어 났는지 설명 할 수 있다면 감사하겠습니다.
"위의 스 니펫을 실행할 때 ..."실제로 인스턴스를 만들고 사용하는 스 니펫이 표시되지 않습니다. 엉덩이. 이걸 포함시켜 주시겠습니까? –