KHC算法在风力发电机组偏航系统的运用

针对现实生活中风力发电机对风精度不高、机组下风方向的风机受其余风机气流影响无法准确对风的问题,提出了一种优化卡尔曼滤波和爬山法相结合的新型控制算法———KHC算法。该算法的核心内容是通过功率检测的方法进行高精度对风控制并利用卡尔曼滤波进行风向量预测,避免偏航机构疲劳动作和干扰。通过仿真分析,验证了算法的可行性,风机发电效率得到了极大提高。

Forecasting the Advertising investment Risk of Sporting Goods Based on Optimized Support Vector Machine

Forecasting The Advertising investment risk of Sporting goods is very important which can provide the decision support for top manager. In this paper, we presented an optimized support vector machine （OSVM） to predict Advertising investment risk of Sporting goods. Experimental results show that the prediction accuracy improved by the proposed method.