首页> 外文会议>Third International Measuring Technology and Mechatronics Automation >Varying-step Correlation Analysis Identification Algorithm Based on the Modified Fibonacci Sequence
【24h】

Varying-step Correlation Analysis Identification Algorithm Based on the Modified Fibonacci Sequence

机译:基于修正斐波那契数列的多步相关分析识别算法

获取原文

摘要

The identification algorithm of correlation analysis is understood easily. But the calculation amount is very large. The optimizing space was selected appropriately. Then the Fibonacci sequence was introduced into the algorithm. Variable step based on modified Fibonacci sequence was used to optimize the model parameters. The result of simulation indicates that the calculation amount is decreased and the Convergent speed of optimizing is improvement.
机译:相关分析的识别算法很容易理解。但是计算量很大。所述优化空间中适当地选择。然后将斐波那契数列引入该算法。基于修正的斐波那契数列的可变步长用于优​​化模型参数。仿真结果表明,该算法减少了计算量,提高了收敛速度。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号