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BP-YYSB
使用BP算法实现语音识别及预测的功能,调试可用(BP algorithm to achieve the function of speech recognition and forecast)
- 2012-05-18 22:16:12下载
- 积分:1
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ade1
计算差分方程组的解的渐近极限,并作图演示结果(Calculating the asymptotic limit of the solution of differential equations, and mapping demo results)
- 2012-09-08 05:15:38下载
- 积分:1
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feixinghangcheng
利用matlab计算点飞行航程的教程 清晰易懂~(Calculation points using matlab tutorial flight from lucid ~)
- 2013-10-05 08:35:34下载
- 积分:1
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optimum-control
吴寿章版最优控制中几个经典的题目给出了离散系统最优控制,最大值原理,动态规划等几个例题(WuShouZhang version of the optimal control of several classic topic has given discrete system optimal control, maximum principle, dynamic programming and so on several examples
)
- 2012-10-09 20:40:46下载
- 积分:1
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out-matlab
SVM回归,用于实现支持向量机(SVM
)回归拟合的问题。可以用来做一些短期的预测,如短期负荷预测。(svm regression, used to implement support vector machine (SVM
) Regression fitting problems. Can be used to do some short-term forecasts, such as short-term load forecasting.)
- 2011-12-15 16:44:32下载
- 积分:1
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sins
sins+dvl+gps组合导航matlab程序,对于学习导航有一定帮助。(sins+dvl+gps egrated navigation matlab program, it is helpful for learning navigation)
- 2021-03-25 17:19:14下载
- 积分:1
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11
说明: 三维随机粗糙面,可修改其相关函数或均方高度等参数(Three-dimensional random rough surface, it can modify its associated functions or parameters such as mean square height)
- 2016-08-22 15:55:29下载
- 积分:1
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matlab_foudation
matlab的基础知识,大好基础,实验论证很重要。(matlab basic knowledge, excellent basic, experimental verification is very important.)
- 2009-03-27 21:59:28下载
- 积分:1
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Project_Thesis_OFDM
Project thesis with included matlab codes of ICI Cancellation in OFDM systems.
- 2014-02-16 02:34:18下载
- 积分:1
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最新的支持向量机工具箱,有了它会很方便-svm_v0.55beta
最新的支持向量机工具箱,有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, "The Nature of Statistical Learning Theory", Springer-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, "Fast training of support vector machines using sequential minimal optimization", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, "Estimating the Generalization Performance of a SVM Efficiently", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999. (The newest work tools of svm,it will be very convenient to have it.)
- 2005-03-29 14:06:00下载
- 积分:1