| 基于遗传算法和人工神经网络的颅内压监测 |
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| 引用本文： | 卢莉蓉,周晋阳,牛晓东. 基于遗传算法和人工神经网络的颅内压监测[J]. 现代电子技术, 2010, 33(4): 170-171 |
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| 作者姓名： | 卢莉蓉 周晋阳 牛晓东 |
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| 作者单位： | 长治医学院,山西,长治,046000 |
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| 摘 要： | 通过对目前颅内压检测方法优缺点的分析，提出一种新型的颅内压检测方法——基于遗传算法和人工神经网络的颅内压监测。该方法利用误差反向传播神经网络建模，利用遗传算法优化，克服误差反向传播算法效率低下，易陷入局部极值的缺点。通过测量4～6个脑血流动力学参数，输入进此颅内压预测模型，即可得到所需颅内压值。
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| 关 键 词： | 颅内压 遗传算法 人工神经网络 脑血流动力学参数 |
Intracranial Pressure Monitoring Based on Genetic Algorithm and Artificial Neural Network |
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| LU Lirong,ZHOU Jinyang,NIU Xiaodong. Intracranial Pressure Monitoring Based on Genetic Algorithm and Artificial Neural Network[J]. Modern Electronic Technique, 2010, 33(4): 170-171 |
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| Authors: | LU Lirong ZHOU Jinyang NIU Xiaodong |
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| Affiliation: | LU Lirong,ZHOU Jinyang,NIU Xiaodong(Changzhi Medical College,Changzhi,046000,China) |
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| Abstract: | A novel intracranial pressure monitoring based on genetic algorithm and artificial neural networks after analyzing the advantages and disadvantages of the intracranial pressure detection method at present.Building a model by using back propagation neural network and optimizing by using genetic algorithm can restrain the disadvantages that the speed of the back propagation algorithm is slowly and the back propagation algorithm is easy to fall into local extremum.The needed intracranial pressure can be gained... |
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| Keywords: | intracranial pressure genetic algorithm artificial neural network cerebral hemodynamic parameter |
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