文件列表:

Ga_Wavelet_Net\arithXover.m (637, 2011-04-13)
Ga_Wavelet_Net\compact_section_day_matrix.mat (45239, 2011-06-11)
Ga_Wavelet_Net\delta.m (621, 2011-04-13)
Ga_Wavelet_Net\divp.m (41, 2011-06-10)
Ga_Wavelet_Net\divq.m (41, 2011-06-10)
Ga_Wavelet_Net\dmorlet.m (137, 2011-06-07)
Ga_Wavelet_Net\fi_matrix_column_sum_x.mexw32 (20480, 2011-06-02)
Ga_Wavelet_Net\ga.m (9806, 2011-05-16)
Ga_Wavelet_Net\gabpEval_test.m (366, 2011-06-06)
Ga_Wavelet_Net\gadecod_test.asv (1007, 2012-04-19)
Ga_Wavelet_Net\gadecod_test.m (1007, 2012-04-19)
Ga_Wavelet_Net\GA_Wnn_test.asv (5390, 2012-06-07)
Ga_Wavelet_Net\GA_Wnn_test.m (5390, 2012-06-07)
Ga_Wavelet_Net\ga函数说明.txt (1550, 2009-07-16)
Ga_Wavelet_Net\get_0_1_matrix_from_sh_sz_stock.asv (7884, 2011-05-14)
Ga_Wavelet_Net\get_0_1_matrix_from_sh_sz_stock.m (7880, 2011-06-11)
Ga_Wavelet_Net\get_section_name.asv (1199, 2011-05-14)
Ga_Wavelet_Net\get_section_name.m (1306, 2011-05-16)
Ga_Wavelet_Net\humps.m (648, 2011-04-28)
Ga_Wavelet_Net\initializega.m (2566, 2011-04-14)
Ga_Wavelet_Net\matrix.mat (64906, 2011-06-11)
Ga_Wavelet_Net\matrix_simplified.mat (206, 2011-05-03)
Ga_Wavelet_Net\maxGenTerm.m (436, 2011-04-13)
Ga_Wavelet_Net\morlet.m (60, 2011-06-07)
Ga_Wavelet_Net\multip.m (43, 2011-06-10)
Ga_Wavelet_Net\nninit_test.asv (6537, 2012-06-07)
Ga_Wavelet_Net\nninit_test.m (6537, 2012-06-07)
Ga_Wavelet_Net\nonUnifMutation.m (1473, 2011-04-13)
Ga_Wavelet_Net\normGeomSelect.m (1570, 2011-04-13)
Ga_Wavelet_Net\parse.m (608, 2011-04-13)
Ga_Wavelet_Net\ReadFromExcel.asv (8010, 2011-05-16)
Ga_Wavelet_Net\ReadFromExcel.m (8010, 2011-05-16)
Ga_Wavelet_Net\section_50_day_n.mat (9972, 2011-06-11)
Ga_Wavelet_Net\section_day_matrix.mat (106916, 2011-06-11)
Ga_Wavelet_Net\section_info.mat (35121, 2011-06-11)
Ga_Wavelet_Net\section_info1.mat (35120, 2011-06-11)
Ga_Wavelet_Net\section_matrix.mat (66704, 2011-05-13)
Ga_Wavelet_Net\section_name.mat (623, 2011-06-11)
Ga_Wavelet_Net\sigmoid.asv (85, 2012-04-19)
... ...

% 遗传算法优化小波神经网络的源程序 % 主程序清单如下 % 1.构造的非线性函数: 位于nninit_test.m % % 2.直接用WNN***近非线性:Wnn_test.m, (内部调用小波函数) % % 3.遗传算法优化后***近 :GA_Wnn_test.m (内部调用遗传算法的,初始化,适应度,解码函数) % % 直接运行2,3 % % 程序tdx_sh_sz_section_50_day_n_test.m先 % 产生大一统 股票*交易日 矩阵，涨幅>0.07者矩阵元=1，然后简化成每日板块涨停个数文件： % 1. 程序先调用get_section_name（）获取股票板块编码文件section_name.mat % 编码从2开始，与其余文件格式暗合；然后对每个股票赋值板块编码。 % 2. 调用get_0_1_matrix_from_sh_sz_stock()，获取涨幅超过阀值的6000*1152矩阵， % 矩阵值为0/1，得到矩阵文件matrix.mat; %'3. 扩充一行一列于matrix矩阵，第一行为日期编码，第1列板块编码，得到文件 % section_day_matrix.mat; % 4. 压缩空间section_day_matrix.mat => compact_section_day_matrix.mat； % 5.

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