资源列表
粒子群算法
- 用改进的粒子群算法对基于非对角MAC矩阵元素均值最小目标函数为目标函数，以简支梁前三阶模态振型为原始数据对简支梁进行传感器优化布置。(The objective function based on the average minimum objective function of the non-diagonal MAC matrix elements is studied by the improved particle swarm algorithm.)
time reversal
- 基于超声阵列的时间反转动画模拟，以动画形式实现(Ultrasound array time reversal animation simulation)
边界随时间udf
- Fluent 实现随时间或坐标变化边界条件的方法udf(udfFluent implements the method of changing boundary conditions with time or coordinates UDF)
MATLAB
- 粒子群算法优化,差分算法优化，遗传算法优化，内点法(Particle swarm optimization, differential algorithm optimization, genetic algorithm optimization, interior point method)
8895885MOEA !!!可用
- 基于分解的多目标进化算法的MATLAB程序，可以使用并运行出结果(MATLAB program based on decomposition of multi-objective evolutionary algorithm can be used and run the results.)
短时功率谱密度
- 语音信号是一个非平稳时变的信号，所以用计算稳态信号的方法计算功率谱密度函数没有太大意义，看不出信号的动态变化，"gonglvpu"给出计算短时功率谱密度函数(Speech signal is a non-stationary time-varying signal, so it is not very meaningful to calculate the power spectral density function by calculating the steady-st
RBM-DBN
- 有限玻尔兹曼机、深度置信网的Matlab实现，用mnist数据进行验证，对理解深度学习原理有帮助。(A Finite Boltzmann machine and deep belief network are implemented in MATLAB and verified with MNIST data. It is helpful to understand the principle of deep learning.)
30861103tail_bitting
- 咬尾卷积码的MATLAB代码，讲的非常详细和深入(The MATLAB code of biting tail convolutional code is very detailed and thorough.)
电商广告点击大数据实时流处理系统案例代码
- 该程序实现topN功能和实时更新黑名单功能，并且能够预测未来点击流趋势。(TopN function and real-time update blacklist function)
随机森林算法_keyong
- 随机森林算法的源程序，在故障诊断中得到了应用，亲测可用(The source program of random forest algorithm is applied in fault diagnosis)
opnet仿真实例（5个）OPNET BOOK CODE
- opnet仿真的几个例子，里面有详细的功能介绍和流程(OPNET simulation of several examples, which have detailed functional introduction and process.)
Untitled1.m
- 利用最小二乘法实现pi模型的离线辨识和在线辨识(Parameter identification of hysteresis PI model)