感知機學習算法之Python實現

感知機學習算法的Python實現

training_set = [[(3, 3), 1], [(4, 3), 1], [(1, 1), -1]]
w = [0, 0]
b = 0


def cal_y(x):
    global w, b
    length = len(w)
    y = b
    for i in range(length):
        y = y + w[i] * x[0][i]
    return y


def check(x):
    global w, b
    l = cal_y(x) * x[1]
    if l >= 0:
        return True
    else:
        return False


def update(x):
    global w, b
    length = len(w)
    for i in range(length):
        w[i] = w[i] + x[1] * x[0][i]
    b = b + x[1]


def main():
    update(training_set[0])
    flag = True
    while flag:
        count = 0
        for i in training_set:
            if not check(i):
                update(i)
                count = 1
                break
        if count == 0:
            flag = False

    for j in w:
        print(j)
    print('\n')
    print(b)


if __name__ == '__main__':
    main()