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【作品展示】

 

【作品介绍】

要先输入训练数据，然后才能预测；

数据越多预测越正确

 

【作品源代码】

class Neural:
    a = []
    weight = 0
    height = 0
    x = 1
    y = 1
    def __init__(self):
        temp = []
        for j in range(201):
            for i in range(201):
                temp.append(0)
            self.a.append(temp)
            temp = []
        for j in range(201):
            for i in range(201):
                temp.append(1)
            self.a.append(temp)
            temp = []
    def input(self,weight,height,x):
        self.weight = weight
        self.height = height
        self.x = x
    def output(self):
        return self.y
    def train(self):
        self.y = self.a[self.weight][self.height]
        if self.y != self.x:
            self.a[self.weight][self.height] = self.x
    def calculate(self,weight,height):
        return self.a[weight][height]


class NeuralNetwork:
    aiin = []
    airun = []
    weight = 0
    height = 0

    def __init__(self):
        for i in range(3):
            self.aiin.append(Neural())
        for i in range(4):
            self.airun.append(Neural())
        self.aiout=Neural()
    
    def deliver(self,first,second,third):
        w = first.weight
        h = first.height
        second.weight = w
        second.height = h
        third.weight = w
        third.height = h
    
    def train(self,data):
        count = len(data)
        for i in range(count):
            for j in range(3):
                self.aiin[i].input(data[i][0],data[i][1],data[i][2])
                self.aiin[i].train()
                self.deliver(self.aiin[i],self.airun[i],self.airun[i+1])
            for j in range(3):
                self.airun[i].input(data[i][0],data[i][1],data[i][2])
                self.airun[i].train()
                self.deliver(self.airun[i],self.aiout,self.aiout)
            self.aiout.input(data[i][0],data[i][1],data[i][2])
            self.aiout.train()
    
    def input(self,weight,height,x):
        for i in range(3):
            self.aiin[i].input(weight,height,x)

    def output(self):
        return self.output.output()
    
    def calculate(self,weight,height):
        return self.aiout.calculate(weight,height)


a = NeuralNetwork()
data = []
temp = []

count = int(input("数据数量:"))
for i in range(count):
    temp.append(int(input("体重:")))
    temp.append(int(input("身高:")))
    temp.append(int(input("性别:")))
    data.append(temp)
    temp = []

a.train(data)

weight = int(input("体重:"))
height = int(input("身高:"))
print("性别:" + str(a.calculate(weight, height)))

 

【提示】

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