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q-learning

于 2020-12-17 发布 文件大小:24KB
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下载积分: 1 下载次数: 11

代码说明:

  在动态环境中使用Q学习优化算法进行优化,仿真软件为Matlab(Q-learning optimization algorithm is used to optimize in dynamic environment. The simulation software is MATLAB)

文件列表:

The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\change_peaks.m, 3334 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\change_stepsize_linear.m, 1086 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\change_stepsize_random.m, 212 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\Constant_Basis_Function.m, 55 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\current_peak_calc.m, 1619 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\deq.m, 2014 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\dummy_eval.m, 1485 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\eval_movpeaks.m, 1909 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\ffa_move.m, 587 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\findrange.m, 245 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\fitness.m, 1413 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\free_peaks.m, 1000 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\getCurrentPeak.m, 945 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\getMaxCoordinate.m, 948 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\getMaxHeight.m, 939 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\getMaximumPeak.m, 946 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\getMinCoordinate.m, 949 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\getPeakHeights.m, 955 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\getPeakPositions.m, 948 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\get_avg_error.m, 1018 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\get_current_error.m, 1133 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\get_number_of_evals.m, 990 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\get_offline_error.m, 987 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\get_offline_performance.m, 1008 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\get_right_peak.m, 1117 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\init_ffa.m, 144 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\init_parameters.m, 5051 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\init_peaks.m, 1925 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\main.m, 14383 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\movpeaks.m, 1672 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\Peak_Function1.m, 1209 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\Peak_Function_Cone.m, 1217 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\printPeakData.m, 1194 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\set_global.m, 1302 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\startup.m, 1115 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ\testtest.m, 5151 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\README.md, 591 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master\DEQ, 0 , 2018-12-27
The-Use-of-Q-learning-for-Optimization-in-Dynamic-Environments-master, 0 , 2018-12-27

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  • dsp
    1.录制一段自己的语音信号,对录制的信号进行采样 画出采样后语音信号的时域波形和频谱图 给定滤波器的性能指标,采matlab设计数字滤波器,并画出滤波器的频率响应 然后用自己设计的滤波器对采集的信号进行滤波,画出滤波后信号的时域波形和频谱,并对滤波前后的信号进行对比,分析信号的变化 回放语音信号。2.(1. Recorded his voice for some signal, the signal is sampled on the record draw sampled speech signal time-domain waveform and frequency spectrum performance for a given filter, mining matlab digital filter design, and draw the filter frequency response then use their own filters designed to filter the collected signals, to draw the filtered time domain waveform and frequency spectrum, and comparing the signal before and after filtering, analysis of signal changes playback of audio signals. 2.)
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