论文部分内容阅读
针对传感器非线性校正存在的不足,提出了基于免疫遗传算法(IGA)的传感器非线性校正。该算法是在遗传算法的基础上引入生物免疫机制,克服了遗传算法精度差、收敛速度慢和“早熟”等问题。计算机仿真表明,该算法不仅能够有效保持种群的多样性,而且收敛速度、精度和稳定性都有了明显提高。实验结果表明了该方法的正确性和有效性。
In order to overcome the shortcomings of nonlinear sensor calibration, a nonlinear sensor calibration based on immune genetic algorithm (IGA) is proposed. The algorithm introduces biological immune mechanism based on genetic algorithm and overcomes the problems of poor accuracy, slow convergence speed and “precocity” of genetic algorithm. Computer simulation shows that the algorithm can not only effectively maintain the diversity of the population, but also significantly improve the convergence speed, accuracy and stability. The experimental results show that the method is correct and effective.