back bias 中文意思是什麼
back bias
解釋
背面光照明-
Firstly, second harmonic component ratio and dead angles of two phase inrush ' s dispersion in three - phase transformes are acted as input variable. secondly, the method applies improved algorithm based on the original algorithm of multi - layer forward back propagation network, that is to say, adding last variational effect of weight value and bias value to this time and making use of variable learning rate. at the same time, this method also adopts dynamic form in the number of hidden floor node
首先，文中將三相變壓器兩相涌流差流的二次諧波含量比和間斷角作為網路的輸入變量；其次，利用對原有bp網路訓練演算法基礎上的改進型演算法（即在計算本次權值和閾值的變化時增加上一次權值和閾值變化的影響以及採用變學習率，與此同時隱含層神經元個數採用動態形式） ，通過樣本訓練使網路結構模型達到最優。 -
On the back of rumours about the vulnerability of the argentine peso peg and market expectations of a tightening bias in us interest rates,
由於傳言指阿根廷披索聯系匯率可能脫鉤，同時市場相信美國傾向加息， -
The following important work has been done : ( 1 ) some special problems of rate - bias laser gyro were analysed. the problems include modulation and demodulation of the output and algorithm of the attitude updates ; ( 2 ) the integrated navigation system with the fault tolerance property which equipped with many navigation equipments as sins, gps, dvs, ads, mg, vg is designed, and compared with that of ckf via simulations ; ( 3 ) the theories and methods of system level fault detection apply to federated filtering is investigated ; ( 4 ) the problem about using the fused information of sins based on rate - bias laser gyroscope / dynamical tune gyroscope to realize the component level hard fault interactions detection through a back - propagation neural network is discussed
主要研究工作有：研究了速率偏頻激光捷聯慣導的陀螺測量信號的解調演算法；設計了在速率偏頻激光捷聯慣導、 gps 、多普勒雷達、大氣數據系統、磁航向儀及垂直陀螺配備條件下聯邦濾波組合導航系統，對聯邦濾波器和集中濾波器的性能做了模擬對比分析；研究了適用於聯邦濾波器的系統級故障理論和方法；探討了利用速率偏頻激光捷聯慣導撓性捷聯慣導陀螺的混合測量信息，通過神經網路實現硬故障交互檢測的方法。 -
Amplified back bias
放大的反偏壓 -
The back - propagation neural network is self - defined. the optimized weights and bias obtained by ga are used as initial weights and bias of the back - propagation ( bp ) neural network. then, the neural network is trained by the variable study rate momentum of bp algorithm, the error goal is achieved by massive experiments
自定義了bp神經網路，將遺傳演算法優化好的初始權值和閾值作為bp網路的權值和閾值，採用學習率可變的動量bp演算法對神經網路進行了訓練，達到了誤差目標要求，從而實現了bp演算法修正網路權重的目的。
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