基于酶动作优化器的无限冲动响应过器识别,通过全面的基准在完整和减少的订单中进行识别
1Faculty of Engineering and Architecture, Department of Computer Engineering, Batman University, Batman, Turkey. ridvanfirat.cinar@batman.edu.tr.
Scientific reports
|November 21, 2025
概括
酶作用优化器有效地识别了复杂的无限冲动响应 (IIR) 波器模型. 这种生物启发的算法在数字信号处理任务的准确性和速度上优于其他算法.
科学领域:
- 数字信号处理 数字信号处理
- 计算智能是一种计算智能.
- 优化算法 优化算法
背景情况:
- 鉴定无限冲动响应 (IIR) 波器模型是具有挑战性的,因为非线性.
- 准确和稳定的识别需要先进的优化技术.
研究的目的:
- 为了评估酶作用优化器适应性IIR过器识别.
- 评估其在各种系统复杂性和订单中的性能.
主要方法:
- 在四个基准IIR系统上测试酶作用优化器.
- 将其性能与海星优化,河马优化和灰狼优化进行比较.
- 使用平均平方误差,平均绝对误差,标准偏差和收速度评估结果.
主要成果:
- 酶作用优化器在全序,低序系统中实现了完美的重建 (零 MSE).
- 它始终显示较低的错误和稳定的收在减少订单的场景.
- 该算法在准确性和速度方面超过了高阶和不对称系统中的比较方法.
结论:
- 酶作用优化器对于复杂的IIR识别非常有效.
- 它具有适应性参数的生物灵感设计平衡了勘探和开发.
- 该算法显示了信号处理中更广泛的优化应用的潜力.
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