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files
Sir i need the coding for Artificial neural network
- 2014-02-18 14:10:23下载
- 积分：1
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FRM
频率响应屏蔽技术（FRM，Frequency Response Masking）技术实现窄带滤波器(Frequency Response Masking technology to realize narrow band filter)
- 2018-04-09 20:39:42下载
- 积分：1
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MPCCONTORLOFPMSM
说明： In this study, a current model predictive controller (MPC) is designed for a permanent
magnet synchronous motor (PMSM) where the speed of the motor can be regulated precisely.
- 2020-12-11 16:49:17下载
- 积分：1
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modulat16qam
this program will modulate 16QAM with different roll of factor with different BER and plot them
- 2013-12-26 21:06:34下载
- 积分：1
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matlab
关于六冗余陀螺仪故障诊断的程序，matlab编程的，实现陀螺仪故障检测与诊断(About six redundant gyroscope fault diagnosis program, matlab programming, realizing gyroscope fault detection and diagnosis)
- 2018-03-24 11:54:23下载
- 积分：1
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computer1
利用matlab进行商品销售的计算机仿真算法
根据售货情况，计算进货情况(Merchandising using matlab simulation algorithm based on the sales situation, calculate the purchase situation)
- 2013-09-06 01:01:53下载
- 积分：1
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pre_affectation_s1_2014-2015
feature selection using genetic algorithm
- 2014-09-25 05:23:49下载
- 积分：1
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PISMO
基于滑膜观测器永磁同步电动机无速度传感器控制模型仿真(Based on the synovial observer speed sensorless control of permanent magnet synchronous motor model simulation)
- 2015-09-16 09:59:23下载
- 积分：1
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fuzzy_pid
直流伺服电机用MATLAB实现的源代码，伺服系统由具有位置反馈、速度反馈和电流反馈的三闭环结构组成本控制系统采用模糊和PID复合控制，在小偏差时转化为P ID控制，这样就获得了比纯模糊控制更高的稳态精度，有比P ID控制更快的动态响应、更小的超调量。(DC servo motor to achieve with the MATLAB source code, by a position feedback servo system, the speed feedback and current feedback loop structure composed of three of the control system using fuzzy and PID compound control, in a small deviation into the P ID control, so that access to higher than the pure fuzzy control steady-state accuracy, faster than P ID control the dynamic response, smaller overshoot.)
- 2010-11-07 10:48:00下载
- 积分：1
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BFGS
拟牛顿法和最速下降法(Steepest Descent Methods)一样只要求每一步迭代时知道目标函数的梯度。通过测量梯度的变化，构造一个目标函数的模型使之足以产生超线性收敛性。这类方法大大优于最速下降法，尤其对于困难的问题。另外，因为拟牛顿法不需要二阶导数的信息，所以有时比牛顿法(Newton s Method)更为有效。如今，优化软件中包含了大量的拟牛顿算法用来解决无约束，约束，和大规模的优化问题。(The quasi-Newton method and the Steepest Descent Methods only require that each step iterations know the gradient of the objective function. By measuring the change of the gradient, constructing a model of the objective function is sufficient to produce superlinear convergence. This method is much better than the steepest descent method, especially for difficult problems. In addition, because the quasi-Newton method does not require information on the second derivative, it is sometimes more effective than the Newton s Method. Today, the optimization software contains a large number of quasi-Newton algorithm used to solve the unconstrained, constraint, and large-scale optimization problems.)
- 2017-05-05 10:28:29下载
- 积分：1
