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基于人工神经网络的色差计非线性误差校正方法研究
The Application of Artificial Neural Network in the Correction of Colorimeter’s Nonlinear Errors
【摘要】 提出了一种基于人工神经网络的新的建模方法,为复杂系统中难测参数的建模和检测提供了新的途径,并有望取代传统的数学建模方法;根据多层前向网络结构和改进的BP算法,建立了一个非线性滤波器的黑箱模型,并成功地解决了色敏探测器的光谱三刺激值非线性误差问题;模拟与实验结果表明了这种方法的可行性。
【Abstract】 A medeling method based on artificial neural network is put fowird, which can preduce a new way for the modeling and measuring of the parameters hard to measure in complex systems and hope to replace the traditional mathmahca methed. The black - box model established based on the back - propagation and nonlinear filter can successfully overeome the spectral tristimulus value’s noulinear errors of cofor sensor. Both simulation and experimental results proe its feasibility.
- 【文献出处】 自动化与仪器仪表 ,AUTOMATION AND INSTRUMENTATION , 编辑部邮箱 ,1998年05期
- 【分类号】TP18
- 【下载频次】66