随笔分类 - 隐马尔科夫模型
摘要:A = [[0.5, 0.2, 0.3], [0.3, 0.5, 0.2], [0.2, 0.3, 0.5]]B = [[0.5, 0.5], [0.4, 0.6], [0.7, 0.3]]pi = [0.2, 0.4, 0.4]def a1(): t = 0 a = [] for i in ran
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摘要:# 状态转移矩阵A = [[0.5, 0.2, 0.3], [0.3, 0.5, 0.2], [0.2, 0.3, 0.5]]# 观测概率矩阵B = [[0.5, 0.5], [0.4, 0.6], [0.7, 0.3]]# 观测序列pi = [0.2, 0.4, 0.4]def a1(): t =
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摘要:import randomclass EM(): def __init__(self): # 设状态值概率 self.t = 0.6 self.q = 0.5 def E(self, i, j): pA = (self.t ** i) * ((1 - self.t) ** j) pB = (self
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摘要:A = [[0.5, 0.2, 0.3], [0.3, 0.5, 0.2], [0.2, 0.3, 0.5]]B = [[0.5, 0.5], [0.4, 0.6], [0.7, 0.3]]pi = [0.2, 0.4, 0.4]a1 = [1, 1, 1]t = [0,0,1]def q(a1,t
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