推导了三元杂种优势率经典估计方法的新的统计检验公式。
A new statistical formula is constructed for testing the significant level of estimated results of classic estimation of three-way heterosis.
最后，探讨了动态一致性检验的频谱(经典谱和最大熵谱)比较法，包括平稳序列频谱的估计和比较。
In the end, spectrum (classical spectrum and maximum entropy spectrum) comparative methods of dynamic consistency validation are discussed, including compare and estimation of stable series spectrum.
数据融合方法采用经典的自适应加权融合估计算法，配合智能判别技术，增强了火灾特征识别的可靠性。
Combined with intelligent recognition technology, data fusion technology adopts the classical self-adapting weighting fusion algorithm to increase the reliability of fire characteristics recognition.
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