[原]神经元与人工神经元
caimouse发表于 2017-03-26 09:40:45
生物的神经元结构如下：
与人工神经元：
这种现象叫做仿生学。
可以使用代码来实现两个权值的感知机：
w = [0, 0]
b = 0
def createDataSet():
"""
create dataset for test
"""
return [[(3, 3), 1], [(4, 3), 1], [(1, 1), -1]]
def update(item):
"""
update with stochastic gradient descent
"""
global w, b
w[0] += item[1] * item[0][0]
w[1] += item[1] * item[0][1]
b += item[1]
def cal(item):
"""
calculate the functional distance between 'item' an the dicision surface. output yi(w*xi+b).
"""
res = 0
for i in range(len(item[0])):
res += item[0][i] * w[i]
res += b
res *= item[1]
return res
def check(training_set):
"""
check if the hyperplane can classify the examples correctly
"""
flag = False
for item in training_set:
if cal(item) <= 0:
flag = True
update(item)
if not flag:
print("RESULT: w: " + str(w) + " b: " + str(b))
return flag
if __name__ == "__main__":
training_set = createDataSet()
while check(training_set):
pass
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