| 放射治疗计划的神经网络优化算法 |
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| 引用本文： | 吴新根,罗立民,鲍旭东,吕维雪.放射治疗计划的神经网络优化算法[J].中国生物医学工程学报,2002,21(4):320-324. |
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| 作者姓名： | 吴新根 罗立民 鲍旭东 吕维雪 |
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| 作者单位： | 1. 东南大学生物医学系,南京,210096
2. 浙江大学生物医学系,杭州,310027 |
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| 摘 要： | 本文针对常用的治疗计划线性规划法 ,首次提出了一种基于神经网络的优化算法。与传统方法相比 ,神经网络优化算法可以克服传统算法求解时出现的问题 ,具有很强的鲁棒性和非线性动态系统的特征 ,可以减小问题的规模 (待求的自由变量个数 )。文中的实验结果表明这种神经网络模型的正确性
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| 关 键 词： | 放射治疗计划 线性规划 神经网络 优化 |
| 文章编号： | 0258-8021(2002)04-320-05 |
| 修稿时间： | 1999年3月8日 |
OPTIMIZATION ALGORITHM OF RADIOTHERAPY TREATMENT PLANNING USING LINEAR PROGRAMMING BASED ON NEURAL NETWORK(LPNN) |
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| WU Xin-gen ,LUO Li-min ,BAO Xu-dong ,LU Wei-xue.OPTIMIZATION ALGORITHM OF RADIOTHERAPY TREATMENT PLANNING USING LINEAR PROGRAMMING BASED ON NEURAL NETWORK(LPNN)[J].Chinese Journal of Biomedical Engineering,2002,21(4):320-324. |
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| Authors: | WU Xin-gen LUO Li-min BAO Xu-dong LU Wei-xue |
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| Institution: | WU Xin-gen 1,LUO Li-min 1,BAO Xu-dong 1,LU Wei-xue 2 |
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| Abstract: | A neural network model for linear programming was proposed to optimize radiotherapy treatment planning. Comparing with traditional methods, neural networks exhibit notable robustness since their functions are not affected by parameter variations over a wide range. Linear programming based on neural networks (LPNN) can speed convergence, decrease scope of problems, and cut down extra slack variables and surplus variables. An example of the use of LPNN in three-dimensional stereotactic radiotherapy treatment planning was also described. |
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| Keywords: | Treatment planning Neural networks Optimization |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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