For this purpose a measure to automatically adjust the value of the "forgettingfactor" is proposed.
为此目的提出了一种自动调整其“遗忘因子”值的措施。
2
The algorithm introduced the forgettingfactor to get the support vectors at the first training. The number of support vectors is decreased by 28%.
该算法在第一次小样本训练时引入了遗忘因子,该因子使支持向量数减少了28%。
3
Using improved Kalman filter to forecast and track. Kalman gain is improved through variable forgettingfactor which will avoid the accumulation of errors.