CN115146389B - 一种永磁磁浮列车动力学特征建模方法 - Google Patents
一种永磁磁浮列车动力学特征建模方法 Download PDFInfo
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
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Citations (7)
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CN104765916A (zh) * | 2015-03-31 | 2015-07-08 | 西南交通大学 | 一种高速列车动力学性能参数优化方法 |
CN106777752A (zh) * | 2016-12-30 | 2017-05-31 | 华东交通大学 | 一种高速列车追踪运行曲线优化设定方法 |
WO2018072351A1 (zh) * | 2016-10-20 | 2018-04-26 | 北京工业大学 | 一种基于粒子群优化算法对支持向量机的优化方法 |
CN112149233A (zh) * | 2020-09-30 | 2020-12-29 | 南京航空航天大学 | 基于回声状态网络的航空发动机动态推力估计方法 |
CN112683261A (zh) * | 2020-11-19 | 2021-04-20 | 电子科技大学 | 一种基于速度预测的无人机鲁棒性导航方法 |
CN112947055A (zh) * | 2021-03-04 | 2021-06-11 | 北京交通大学 | 基于回声状态网络的磁悬浮列车位移速度的跟踪控制方法 |
CN114186379A (zh) * | 2021-10-12 | 2022-03-15 | 武汉大学 | 基于回声网络和深度残差神经网络的变压器状态评估方法 |
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- 2022-07-19 CN CN202210851719.0A patent/CN115146389B/zh active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
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CN104765916A (zh) * | 2015-03-31 | 2015-07-08 | 西南交通大学 | 一种高速列车动力学性能参数优化方法 |
WO2018072351A1 (zh) * | 2016-10-20 | 2018-04-26 | 北京工业大学 | 一种基于粒子群优化算法对支持向量机的优化方法 |
CN106777752A (zh) * | 2016-12-30 | 2017-05-31 | 华东交通大学 | 一种高速列车追踪运行曲线优化设定方法 |
CN112149233A (zh) * | 2020-09-30 | 2020-12-29 | 南京航空航天大学 | 基于回声状态网络的航空发动机动态推力估计方法 |
CN112683261A (zh) * | 2020-11-19 | 2021-04-20 | 电子科技大学 | 一种基于速度预测的无人机鲁棒性导航方法 |
CN112947055A (zh) * | 2021-03-04 | 2021-06-11 | 北京交通大学 | 基于回声状态网络的磁悬浮列车位移速度的跟踪控制方法 |
CN114186379A (zh) * | 2021-10-12 | 2022-03-15 | 武汉大学 | 基于回声网络和深度残差神经网络的变压器状态评估方法 |
Non-Patent Citations (3)
Title |
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基于回声状态网络速度预测的高速动车组优化控制;伍高飞;陈喜红;周安德;于建顺;刘鸿恩;电力机车与城轨车辆;20191231(第005期);13-16, 20 * |
磁浮车用SRI1R160B―2型空气弹簧的计算分析及试验研究;刘少义;许恒波;郑宝奎;林国英;;铁道车辆;20150410(第04期);9+18-21 * |
遗传算法优化回声状态网络的网络流量预测;田中大;高宪文;李树江;王艳红;;计算机研究与发展;20150515(第05期);145-153 * |
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