- 極小問題
- 極小值問題
- minimum: n. (pl. minimums, -ma ) 最小，最 ...
- problem: n. 1.問題，課題；疑難問題；令人困惑的情況。 2.【 ...
- minimum size problem: 最小尺寸問題
- minimum time-to-climb problem: 最短爬高時間問題
- minimum-range problem: 最小射程問題
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minimum problem中文什么意思
- 極小問題
- 極小值問題
下載手機詞典可隨時隨地查詞查翻譯
例句與用法
- We proposed an improved simulated annealing algorithm with neighbor function based on self - optimization of scale parameter . furthermore incorporating disaster - modification and the improved annealing into genetic algorithm , an improved genetic - annealing algorithm is proposed . in order to solve the deceptive minimum problem , an improved evolutionary strategy combined with similarity detection and improved mutation operator
提出了鄰域尺度函數(shù)自尋優(yōu)的模擬褪火算法，結合遺傳算法，引入災變算子，提出了改進遺傳模擬褪火算法；為了解決尋優(yōu)過程中的最小欺騙問題，我們提出了相似性檢測，結合改進的適應值無關變異算子，提出了基于相似性檢測和適應值無關變異算子的進化策略算法。 - 2 . on the base of detailedly analysing the fourier neural networks , we find this neural networks have the characteristic which can transform the nonlinear mapping into linear mapping . so , we improve the original learning algorithm based on nonlinear optimization and propose a novel learning algorithm based on linear optimization ( this dissertation adopts the least squares method ) . the novel learning algorithm highly improve convergence speed and avoid local minima problem . because of adopting the least squares method , when the training output samples were affected by white noise , this algorithm have good denoising function
在詳細分析已有的傅立葉神經網絡的基礎上，發(fā)現(xiàn)傅立葉神經網絡具有將非線性映射轉化成線性映射的特點，基于這個特點，對該神經網絡原有的基于非線性優(yōu)化的學習算法進行了改進，提出了基于線性優(yōu)化方法(本文采用最小二乘法)的學習算法，大大提高了神經網絡的收斂速度并避免了局部極小問題；由于采用了最小二乘方法，當用來訓練傅立葉神經網絡的訓練輸出樣本受白噪聲影響時，本學習算法具有良好的降低噪聲影響的功能。