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gaoyanyan3銀蟲 (正式寫手)
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[求助]
一段話，幫忙翻譯成英語，非常感謝！
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結合標準算法可知，a和b分別作為收斂于局部最優(yōu)和全局最優(yōu)的兩個加速因子，不僅會影響算法的收斂速度，同時，也可能會影響“早熟”現(xiàn)象的發(fā)生，我們知道在其作用過程中如果初期對局部有較大的收斂速度，對全局有較小的收斂速度，在末期對局部有較小的收斂速度，對全局有較大的收斂速度，且整體收斂速度遞減，則能夠有效避免“早熟”情況的發(fā)生。 依據(jù)粒子與最優(yōu)位置的接近程度，判定粒子所處時期，初期粒子與最優(yōu)位置相距較遠，末期粒子與最優(yōu)位置相距較近，我們可使用誤差函數(shù)確定粒子與全局最優(yōu)位置的接近程度，依據(jù)接近程度選擇相應的加速因子，粒子越接近，其加速因子應越小。 |
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2010221231
銅蟲 (小有名氣)
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sltmac: 金幣+1, 感謝應助，歡迎常來 2012-10-10 08:52:38
gaoyanyan3: 金幣+5 2012-10-10 16:21:31
sltmac: 金幣+1, 感謝應助，歡迎常來 2012-10-10 08:52:38
gaoyanyan3: 金幣+5 2012-10-10 16:21:31
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Combined with standard algorithm, it is known that a and b as convergence in local optimum and global optimal two accelerating factor, will not only affect the algorithm convergence speed, and at the same time, also may affect "premature" phenomenon occurs, we know that in its role in the process of the early if to local have greater convergence speed for global have smaller convergence speed, in the end to local have smaller convergence speed for global have greater convergence speed and global convergence speed decreasing, it can effectively avoid the "early" the happening of the circumstance. According to the particles and optimal position close degree, decision particle are at a stage, initial particles and optimal position far apart, the end particles and optimal position closer apart, we can use error function determine particle and global optimal position close degree, according to the degree of close to select the accelerating factor, particle more close, the accelerating factor should be smaller. |
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★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ...
sltmac: 金幣+1, 感謝應助，歡迎常來 2012-10-10 08:52:32
gaoyanyan3: 金幣+70, 翻譯EPI+1, ★★★★★最佳答案, 謝謝！ 2012-10-10 16:21:23
sltmac: 金幣+1, 感謝應助，歡迎常來 2012-10-10 08:52:32
gaoyanyan3: 金幣+70, 翻譯EPI+1, ★★★★★最佳答案, 謝謝！ 2012-10-10 16:21:23
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Combined with standard algorithm, it is known that a and b as convergence in local optimum and global optimal two accelerating factor, will not only affect the algorithm convergence speed, and at the same time, also may affect "premature" phenomenon occurs, we know that in its role in the process of the early if to local have greater convergence speed for global have smaller convergence speed, in the end to local have smaller convergence speed for global have greater convergence speed and global convergence speed decreasing, it can effectively avoid the "early" the happening of the circumstance. According to the particles and optimal position close degree, decision particle are at a stage, initial particles and optimal position far apart, the end particles and optimal position closer apart, we can use error function determine particle and global optimal position close degree, according to the degree of close to select the accelerating factor, particle more close, the accelerating factor should be smaller. |
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sltmac: 金幣+1, 感謝應助，歡迎常來 2012-10-10 08:52:44
gaoyanyan3: 金幣+5 2012-10-10 16:21:34
sltmac: 金幣+1, 感謝應助，歡迎常來 2012-10-10 08:52:44
gaoyanyan3: 金幣+5 2012-10-10 16:21:34
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Combined with standard algorithm, it is known that a and b as convergence in local optimum and global optimal two accelerating factor, will not only affect the algorithm convergence speed, and at the same time, also may affect "premature" phenomenon occurs, we know that in its role in the process of the early if to local have greater convergence speed for global have smaller convergence speed, in the end to local have smaller convergence speed for global have greater convergence speed and global convergence speed decreasing, it can effectively avoid the "early" the happening of the circumstance. According to the particles and optimal position close degree, decision particle are at a stage, initial particles and optimal position far apart, the end particles and optimal position closer apart, we can use error function determine particle and global optimal position close degree, according to the degree of close to select the accelerating factor, particle more close, the accelerating factor should be smaller. |
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