文件名称:Matlab_code_with_GUI
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A Fuzzy Cognitive Maps (FCMs) is a modelling methodology based on exploiting knowledge and experience. FCMs were proposed by Kosko (1986) to represent the causal relationship between concepts and analyze inference patterns. FCM is a soft computing technique that follows an approach similar to the human reasoning and decision-making process
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下载文件列表
| 文件名 | 大小 | 更新时间 |
|---|---|---|
| Matlab_code_with_GUI\BTC_1d_2015\Data\1d_2015.csv | 10107 | 2016-08-12 |
| Matlab_code_with_GUI\BTC_1d_2015\Maps\mapa3.csv | 154 | 2016-08-12 |
| Matlab_code_with_GUI\BTC_1d_2015\Maps\mapa4.csv | 258 | 2016-08-12 |
| Matlab_code_with_GUI\BTC_1d_2015\Maps\mapa5.csv | 375 | 2016-08-12 |
| Matlab_code_with_GUI\BTC_1d_2015\Maps\mapa6.csv | 504 | 2016-08-12 |
| Matlab_code_with_GUI\BTC_2h_Dec_2015\Data\2hStepDec2015.csv | 10341 | 2016-08-12 |
| Matlab_code_with_GUI\BTC_2h_Dec_2015\Maps\mapa3.csv | 159 | 2016-08-12 |
| Matlab_code_with_GUI\BTC_2h_Dec_2015\Maps\mapa4.csv | 257 | 2016-08-12 |
| Matlab_code_with_GUI\BTC_2h_Dec_2015\Maps\mapa5.csv | 368 | 2016-08-12 |
| Matlab_code_with_GUI\BTC_2h_Dec_2015\Maps\mapa6.csv | 497 | 2016-08-12 |
| Matlab_code_with_GUI\BTC_2h_Dec_2015\Maps\mapa7.csv | 653 | 2016-08-12 |
| Matlab_code_with_GUI\BTC_5min_1_Dec_2015\Data\5minStepNewFormat.csv | 7830 | 2016-08-12 |
| Matlab_code_with_GUI\BTC_5min_1_Dec_2015\Maps\mapa3.csv | 162 | 2016-08-12 |
| Matlab_code_with_GUI\BTC_5min_1_Dec_2015\Maps\mapa4.csv | 257 | 2016-08-12 |
| Matlab_code_with_GUI\BTC_5min_1_Dec_2015\Maps\mapa5.csv | 377 | 2016-08-12 |
| Matlab_code_with_GUI\BTC_5min_1_Dec_2015\Maps\mapa6.csv | 493 | 2016-08-12 |
| Matlab_code_with_GUI\BTC_5min_1_Dec_2015\Maps\mapa7.csv | 664 | 2016-08-12 |
| Matlab_code_with_GUI\BTC_6h_2014-2016\Data\6hStep2014-16.csv | 74370 | 2016-08-12 |
| Matlab_code_with_GUI\BTC_6h_2014-2016\Maps\mapa10.csv | 1496 | 2016-08-12 |
| Matlab_code_with_GUI\BTC_6h_2014-2016\Maps\mapa7.csv | 655 | 2016-08-12 |
| Matlab_code_with_GUI\BTC_6h_2014-2016\Maps\mapa8.csv | 825 | 2016-08-12 |
| Matlab_code_with_GUI\BTC_6h_2014-2016\Maps\mapa9.csv | 1036 | 2016-08-12 |
| Matlab_code_with_GUI\degranulate.m | 376 | 2016-08-12 |
| Matlab_code_with_GUI\distance.m | 74 | 2016-08-12 |
| Matlab_code_with_GUI\fit_func.m | 664 | 2016-08-12 |
| Matlab_code_with_GUI\generate_map.m | 670 | 2016-08-12 |
| Matlab_code_with_GUI\generate_window.fig | 6859 | 2016-08-12 |
| Matlab_code_with_GUI\generate_window.m | 16402 | 2016-08-12 |
| Matlab_code_with_GUI\generate_window_ffin.fig | 6659 | 2016-08-12 |
| Matlab_code_with_GUI\generate_window_ffin.m | 17602 | 2016-08-12 |
| Matlab_code_with_GUI\granulate_data.m | 495 | 2016-08-12 |
| Matlab_code_with_GUI\import_map.m | 231 | 2016-08-12 |
| Matlab_code_with_GUI\main_window_fin.fig | 4763 | 2016-08-12 |
| Matlab_code_with_GUI\main_window_fin.m | 5325 | 2016-08-12 |
| Matlab_code_with_GUI\Particle.m | 1160 | 2016-08-12 |
| Matlab_code_with_GUI\predict.m | 478 | 2016-08-12 |
| Matlab_code_with_GUI\prepare_fcm_m.m | 1151 | 2016-08-12 |
| Matlab_code_with_GUI\Pso.m | 2823 | 2016-08-12 |
| Matlab_code_with_GUI\rmse.m | 115 | 2016-08-12 |
| Matlab_code_with_GUI\Sub_swarm.m | 468 | 2016-08-12 |
| Matlab_code_with_GUI\Swarm.m | 1500 | 2016-08-12 |
| Matlab_code_with_GUI\u_pre_func.m | 706 | 2016-08-12 |
| Matlab_code_with_GUI\BTC_1d_2015\Data | 0 | 2016-08-12 |
| Matlab_code_with_GUI\BTC_1d_2015\Maps | 0 | 2016-08-12 |
| Matlab_code_with_GUI\BTC_2h_Dec_2015\Data | 0 | 2016-08-12 |
| Matlab_code_with_GUI\BTC_2h_Dec_2015\Maps | 0 | 2016-08-12 |
| Matlab_code_with_GUI\BTC_5min_1_Dec_2015\Data | 0 | 2016-08-12 |
| Matlab_code_with_GUI\BTC_5min_1_Dec_2015\Maps | 0 | 2016-08-12 |
| Matlab_code_with_GUI\BTC_6h_2014-2016\Data | 0 | 2016-08-12 |
| Matlab_code_with_GUI\BTC_6h_2014-2016\Maps | 0 | 2016-08-12 |
| Matlab_code_with_GUI\BTC_1d_2015 | 0 | 2016-08-12 |
| Matlab_code_with_GUI\BTC_2h_Dec_2015 | 0 | 2016-08-12 |
| Matlab_code_with_GUI\BTC_5min_1_Dec_2015 | 0 | 2016-08-12 |
| Matlab_code_with_GUI\BTC_6h_2014-2016 | 0 | 2016-08-12 |
| Matlab_code_with_GUI | 0 | 2016-08-12 |