lsm least square method 中文意思是什麼
lsm least square method
解釋
最小平方法-
The robust system can prevent abnormal factors from entering the flood system, so as to ensure the stability of the system and the accuracy of flood forecast. firstly, the theory of robust estimation is introduced into parameter estimation of the auto - regressive model ( ar model ). also some estimation methods commonly used, including the huber estimation and igg estimation, are introduced and compared with the least square method ( lsm )
洪水預報系統的抗差性研究，就是把抗差理論引入洪水預報中，利用抗差系統具有的抗差能力，使許多嚴重的不正常因素誤差影響，根本就不能進入系統，這樣，減少了系統的污染機會，降低了不正常因素的影響，可大大提高系統的穩定性和洪水預報的精度。 -
Improve on traditional lsm flatness pattern recognition, direct recognition method has been built, it ' s simple, applied and high precision. in conclusion, this paper not only puts forward two new methods of pattern recognition, but also solves the problem that traditional or fuzzy logic pattern recognition can not solve or solve well. it enlarges the range of pattern recognition and gets over the defect and deficiency in the traditional shape pattern recognition based on the least square
改進了傳統最小二乘板形模式識別方法，建立了基於勒讓德正交多項式的板形模式識別直接法，方法簡單、實用，識別精度較高；不僅增加了一種新的模式識別方法，而且解決了傳統模式識別、模糊邏輯模式識別方法解決不好和解決不了的問題，大大擴展了模式識別的應用范圍，克服了傳統的基於最小二乘法板形模式識別的缺點和不足。
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