lunwen

所属分类:人工智能/神经网络/深度学习
开发工具:matlab
文件大小:21163KB
下载次数:9
上传日期:2009-05-31 17:14:57
上 传 者carsongao
说明:  针对 深 人 基础I程施1_的特点,围绕深基坑}_程自身的稳定性和环境岩十},程问题这一突出 的技术难题。对于日益加人、加深的岩十}程问题,传统的研究方法中存在着“参数给不准”和 “模型给不准”两个主要困惑,它们已经成为制约岩}月程发展的瓶颈。这就需要另辟蹊径,实 现思维方式的变革,引入其他相关学科的最新成果,诸如智能神经网络、模糊数学理论、遗传算 法等软科学方法,来研究深大基础}_程施}_变形的钾能预测与控制方法。本文对地卜}程施!_过 程中的稳定性和安全性进行了较系统的分析研究,建立了一套集深大基础}_程施1_变形预测与控 制于一体的综合智能化施}_控制系统。在MATLAB6.1平台的支持卜,研制开发了相应的智能化 预测与控制软件系统,并通过实例分析,验证了上述研究的可行性和有效性。
(The basis for deep I-way measures the characteristics of 1_, _) around the deep foundation of the stability of their own way and environmental rock 10), this way to highlight the issue of Technical problems. Increasingly for people, to deepen the rock) 10-way issues, the traditional research methods, there are "parameters are not allowed to" and "Model to not be allowed to" two major puzzles, they have become rock) constraints on the development of the bottleneck process. This requires open a new path, it is Change is the way of thinking, the introduction of other relevant disciplines of the latest achievements, such as intelligent neural networks, fuzzy theory, genetic operators Soft law methods to study the basis of deep-range Shi)) _ _ K deformation method to predict and control. In this paper, and Cheng Shi Bu)! _ Too The process of stability and security to a more systematic analysis of research, established a foundation set deep Cheng Shi) _ 1_ deformation prediction an)

文件列表:
y578365wz.pdf (90900, 2009-05-23)
y578365zye.pdf (99715, 2009-05-23)
y5783650001.pdf (75345, 2009-05-23)
y5783650002.pdf (235240, 2009-05-23)
y5783650003.pdf (81396, 2009-05-23)
y5783650004.pdf (637984, 2009-05-23)
y5783650005.pdf (1227090, 2009-05-23)
y5783650006.pdf (184990, 2009-05-23)
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y5783650008.pdf (240911, 2009-05-23)
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y5783650010.pdf (74537, 2009-05-23)
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y5783650021.pdf (352067, 2009-05-23)
y5783650022.pdf (549283, 2009-05-23)
y5783650023.pdf (57273, 2009-05-23)
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y5783650025.pdf (175884, 2009-05-23)
y5783650026.pdf (333758, 2009-05-23)
y5783650027.pdf (212428, 2009-05-23)
y5783650028.pdf (155562, 2009-05-23)
y5783650029.pdf (184408, 2009-05-23)
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y5783650031.pdf (46806, 2009-05-23)
y5783650032.pdf (60967, 2009-05-23)
y5783650033.pdf (121085, 2009-05-23)
y5783650034.pdf (360023, 2009-05-23)
y5783650035.pdf (150362, 2009-05-23)
y5783650036.pdf (281080, 2009-05-23)
y5783650037.pdf (739398, 2009-05-23)
y5783650038.pdf (242460, 2009-05-23)
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