{"id":28676,"date":"2024-10-27T16:14:30","date_gmt":"2024-10-27T16:14:30","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=28676"},"modified":"2024-11-26T06:59:22","modified_gmt":"2024-11-26T06:59:22","slug":"%eb%a8%b8%ec%8b%a0%eb%9f%ac%eb%8b%9d-%eb%b0%8f-%eb%94%a5%eb%9f%ac%eb%8b%9d-%ec%95%8c%ea%b3%a0%eb%a6%ac%ec%a6%98-%ed%8a%b8%eb%a0%88%ec%9d%b4%eb%94%a9-gru","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/28676\/","title":{"rendered":"\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, GRU"},"content":{"rendered":"<p><body><\/p>\n<p>\uc548\ub155\ud558\uc138\uc694! \uc624\ub298\uc740 \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uc911\uc694\ud55c \ub3c4\uad6c \uc911 \ud558\ub098\uc778 GRU (Gated Recurrent Unit)\uc5d0 \ub300\ud574 \uae4a\uc774 \uc788\uac8c \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. GRU\ub294 \uc2dc\uacc4\uc5f4 \ub370\uc774\ud130 \uc608\uce21\uc5d0 \uac15\ub825\ud55c \uc131\ub2a5\uc744 \ubcf4\uc774\ubbc0\ub85c \uae08\uc735 \uc2dc\uc7a5\uc758 \uc790\ub3d9 \ub9e4\ub9e4 \uc2dc\uc2a4\ud15c\uc5d0 \ub110\ub9ac \uc0ac\uc6a9\ub429\ub2c8\ub2e4. GRU\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc54c\uc544\ubcf4\uba70, \uc774\ub97c \ud1b5\ud574 \uace0\uae09 \ud2b8\ub808\uc774\ub529 \uc804\ub7b5\uc758 \uad6c\ucd95 \ubc29\ubc95\uc5d0 \ub300\ud574\uc11c\ub3c4 \ub17c\uc758\ud558\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>1. \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc774\ub780?<\/h2>\n<p>\uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529(Algorithmic Trading)\uc740 \ubbf8\ub9ac \uc124\uc815\ub41c \uaddc\uce59\uc5d0 \ub530\ub77c \ucef4\ud4e8\ud130 \ud504\ub85c\uadf8\ub7a8\uc774 \uc790\ub3d9\uc73c\ub85c \ub9e4\ub9e4\ub97c \uc218\ud589\ud558\ub294 \uac70\ub798 \ubc29\uc2dd\uc785\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c \uc778\uacf5\uc9c0\ub2a5(AI)\uacfc \uba38\uc2e0\ub7ec\ub2dd(ML) \uae30\uc220\uc744 \ud65c\uc6a9\ud558\uc5ec \uacfc\uac70 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\uace0, \ud2b8\ub80c\ub4dc\ub97c \uc608\uce21\ud558\uc5ec \uc2e4\uc2dc\uac04\uc73c\ub85c \ub9e4\ub9e4\ub97c \ud569\ub2c8\ub2e4.<\/p>\n<ul>\n<li><strong>\uc18d\ub3c4 \ubc0f \ud6a8\uc728\uc131:<\/strong> \ub192\uc740 \uc18d\ub3c4\ub85c \uac70\ub798\ub97c \uc218\ud589\ud558\uba70 \uc778\uac04\uc758 \uac10\uc815 \uac1c\uc785\uc744 \ucd5c\uc18c\ud654\ud569\ub2c8\ub2e4.<\/li>\n<li><strong>\ub370\uc774\ud130 \uae30\ubc18 \uc758\uc0ac\uacb0\uc815:<\/strong> \ubc29\ub300\ud55c \uc591\uc758 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\uc5ec \ucd5c\uc801\uc758 \ub9e4\ub9e4 \uc2dc\uc810\uc744 \ucc3e\uc2b5\ub2c8\ub2e4.<\/li>\n<li><strong>\ub9ac\uc2a4\ud06c \uad00\ub9ac:<\/strong> \uc0ac\uc804\uc5d0 \uc124\uc815\ub41c \uaddc\uce59\uc5d0 \ub530\ub77c \uc190\uc2e4\uc744 \ucd5c\uc18c\ud654\ud558\ub294 \uc804\ub7b5\uc744 \uc2e4\ud589\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h2>2. \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc758 \uc815\uc758<\/h2>\n<p>\uba38\uc2e0\ub7ec\ub2dd\uc740 \ub370\uc774\ud130\ub97c \uae30\ubc18\uc73c\ub85c \ud559\uc2b5\ud558\uc5ec \ud328\ud134\uc744 \uc778\uc2dd\ud558\ub294 \uc778\uacf5\uc9c0\ub2a5\uc758 \ud55c \ubd84\uc57c\uc785\ub2c8\ub2e4. \ubc18\uba74, \ub525\ub7ec\ub2dd\uc740 \uc2e0\uacbd\ub9dd(Neural Network) \uae30\uc220\uc744 \ud65c\uc6a9\ud558\uc5ec \ub354\uc6b1 \ubcf5\uc7a1\ud55c \ub370\uc774\ud130 \uad6c\uc870\ub97c \ud559\uc2b5\ud558\ub294\ub370 \ucd08\uc810\uc744 \ub9de\ucda5\ub2c8\ub2e4. \ud2b9\ud788, \uc2dc\uacc4\uc5f4 \uc608\uce21 \ubc0f \ud328\ud134 \uc778\uc2dd\uc5d0 \ud6a8\uacfc\uc801\uc785\ub2c8\ub2e4.<\/p>\n<h3>2.1 \uba38\uc2e0\ub7ec\ub2dd\uc758 \uc885\ub958<\/h3>\n<ul>\n<li><strong>\uc9c0\ub3c4 \ud559\uc2b5(Supervised Learning):<\/strong> \ub808\uc774\ube14\ub9c1\ub41c \ub370\uc774\ud130\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud559\uc2b5\ud569\ub2c8\ub2e4.<\/li>\n<li><strong>\ube44\uc9c0\ub3c4 \ud559\uc2b5(Unsupervised Learning):<\/strong> \ub808\uc774\ube14\uc774 \uc5c6\ub294 \ub370\uc774\ud130\ub97c \ud1b5\ud574 \ud328\ud134\uc744 \ubc1c\uacac\ud569\ub2c8\ub2e4.<\/li>\n<li><strong>\uac15\ud654 \ud559\uc2b5(Reinforcement Learning):<\/strong> \ud658\uacbd\uacfc \uc0c1\ud638\uc791\uc6a9\ud558\uba70 \ubcf4\uc0c1\uc744 \ucd5c\ub300\ud654\ud558\ub294 \uc804\ub7b5\uc744 \ud559\uc2b5\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h3>2.2 \ub525\ub7ec\ub2dd\uc758 \ubc1c\uc804<\/h3>\n<p>\ub525\ub7ec\ub2dd\uc740 2000\ub144\ub300 \ud6c4\ubc18\ubd80\ud130 \ud06c\uac8c \ubc1c\uc804\ud558\uc600\uace0, \uc774\ubbf8\uc9c0 \uc778\uc2dd, \uc790\uc5f0\uc5b4 \ucc98\ub9ac, \uc2dc\uacc4\uc5f4 \uc608\uce21 \ub4f1 \ub2e4\uc591\ud55c \ubd84\uc57c\uc5d0\uc11c \uc2e4\uc6a9\ud654\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. GRU\ub294 \uc774\ub7ec\ud55c \ub525\ub7ec\ub2dd \ubaa8\ub378\uc758 \ud558\ub098\ub85c \uc2dc\ud000\uc2a4 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud558\ub294 \ub370 \ud2b9\ud654\ub418\uc5b4 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>3. GRU(Gated Recurrent Unit)\ub780?<\/h2>\n<p>GRU\ub294 LSTM(\uc7a5\uae30 \ub2e8\uae30 \uae30\uc5b5)\uacfc \ube44\uc2b7\ud55c \ubc29\uc2dd\uc73c\ub85c \ub3d9\uc791\ud558\uc9c0\ub9cc \ub354 \ub2e8\uc21c\ud558\uace0 \ud6a8\uc728\uc801\uc778 \uad6c\uc870\ub97c \uac00\uc9c0\uace0 \uc788\uc2b5\ub2c8\ub2e4. GRU\ub294 \uc785\ub825 \ub370\uc774\ud130\uc758 \ud2b9\uc815 \ubd80\ubd84\uc5d0 \uc9d1\uc911\ud558\uace0 \ubd88\ud544\uc694\ud55c \ub370\uc774\ud130\ub97c \uae30\uc5b5\ud558\uc9c0 \uc54a\ub3c4\ub85d \uc124\uacc4\ub418\uc5c8\uc2b5\ub2c8\ub2e4. \uc774\ub294 \ube44\ud2b8 \uc2a4\ud0dd(float)\uacfc \uc0c1\ud0dc \ubca1\ud130(state vector)\uc758 \uc870\ud569\uc73c\ub85c \uc774\ub8e8\uc5b4\uc838 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>3.1 GRU\uc758 \uad6c\uc870<\/h3>\n<p>GRU\ub294 \ub450 \uac00\uc9c0 \uc8fc\uc694 \uac8c\uc774\ud2b8\ub97c \uc0ac\uc6a9\ud569\ub2c8\ub2e4: \uc5c5\ub370\uc774\ud2b8 \uac8c\uc774\ud2b8(Update Gate)\uc640 \ub9ac\uc14b \uac8c\uc774\ud2b8(Reset Gate). \uc774 \ub450 \uac8c\uc774\ud2b8\uac00 \uc0c1\ud638\uc791\uc6a9\ud558\uc5ec \ub2e4\uc74c \uc0c1\ud0dc\ub97c \uacb0\uc815\ud569\ub2c8\ub2e4.<\/p>\n<ul>\n<li><strong>\uc5c5\ub370\uc774\ud2b8 \uac8c\uc774\ud2b8:<\/strong> \ud604\uc7ac \uc0c1\ud0dc\uac00 \uc5bc\ub9c8\ub098 \ud544\uc694\ud55c\uc9c0\ub97c \uacb0\uc815\ud569\ub2c8\ub2e4.<\/li>\n<li><strong>\ub9ac\uc14b \uac8c\uc774\ud2b8:<\/strong> \uc774\uc804 \uc0c1\ud0dc\uc640 \ud604\uc7ac \uc785\ub825\uc744 \uacb0\ud569\ud558\uc5ec \uc815\ubcf4\ub97c \uc5bc\ub9c8\ub098 \uc78a\uc744\uc9c0\ub97c \uacb0\uc815\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h3>3.2 GRU\uc758 \uc218\uc2dd<\/h3>\n<p>GRU\uc758 \ub3d9\uc791\uc740 \ub2e4\uc74c\uacfc \uac19\uc740 \uc218\uc2dd\uc73c\ub85c \ud45c\ud604\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n<pre><code>\nz_t = \u03c3(W_z * x_t + U_z * h_{t-1})  # \uc5c5\ub370\uc774\ud2b8 \uac8c\uc774\ud2b8\nr_t = \u03c3(W_r * x_t + U_r * h_{t-1})  # \ub9ac\uc14b \uac8c\uc774\ud2b8\nh_t' = tanh(W * x_t + U * (r_t * h_{t-1}))  # \ud604\uc7ac \uc0c1\ud0dc \uacc4\uc0b0\nh_t = (1 - z_t) * h_{t-1} + z_t * h_t'  # \ucd5c\uc885 \uc0c1\ud0dc \uacc4\uc0b0\n<\/code><\/pre>\n<h2>4. GRU\ub97c \uc774\uc6a9\ud55c \uae08\uc735 \ub370\uc774\ud130 \uc608\uce21<\/h2>\n<p>\uc774\uc81c GRU\uac00 \uc5b4\ub5bb\uac8c \uae08\uc735 \ub370\uc774\ud130 \uc608\uce21\uc5d0 \ud65c\uc6a9\ub418\ub294\uc9c0 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. GRU \ubaa8\ub378\uc744 \ud6c8\ub828\uc2dc\ud0a4\uae30 \uc704\ud574\uc11c\ub294 \uba3c\uc800 \uc5ed\uc0ac\uc801\uc778 \uc2dc\uc138 \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud558\uace0 \uc804\ucc98\ub9ac\ud574\uc57c \ud569\ub2c8\ub2e4.<\/p>\n<h3>4.1 \ub370\uc774\ud130 \uc218\uc9d1<\/h3>\n<p>\uae08\uc735 \ub370\uc774\ud130\ub294 \ub2e4\uc591\ud55c \uc18c\uc2a4\uc5d0\uc11c \uc218\uc9d1\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uac70\ub798\uc18c API\ub97c \ud1b5\ud574 \uc8fc\uc2dd \ub370\uc774\ud130, \uc678\ud658 \ub370\uc774\ud130 \ub4f1\uc744 \uc2e4\uc2dc\uac04\uc73c\ub85c \uc218\uc9d1\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>4.2 \ub370\uc774\ud130 \uc804\ucc98\ub9ac<\/h3>\n<p>\uc218\uc9d1\ud55c \ub370\uc774\ud130\ub294 \uacb0\uce21\uce58 \ucc98\ub9ac, \uc815\uaddc\ud654, \ud0d0\uc0c9\uc801 \ub370\uc774\ud130 \ubd84\uc11d(EDA) \ub4f1\uc744 \ud1b5\ud574 \uc804\ucc98\ub9ac\ub97c \uc9c4\ud589\ud569\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c \ub2e4\uc74c\uacfc \uac19\uc740 \ub2e8\uacc4\uac00 \ud544\uc694\ud569\ub2c8\ub2e4:<\/p>\n<ul>\n<li>\uacb0\uce21\uce58 \ubc0f \uc774\uc0c1\uce58 \uc81c\uac70<\/li>\n<li>\ub370\uc774\ud130 \uc815\uaddc\ud654 (\uc608: Min-Max Scaling)<\/li>\n<li>\ub370\uc774\ud130 \ubd84\ud560 (\ud6c8\ub828\uc14b, \uac80\uc99d\uc14b, \ud14c\uc2a4\ud2b8\uc14b)<\/li>\n<\/ul>\n<h3>4.3 \ubaa8\ub378 \uad6c\ucd95<\/h3>\n<p>\ubaa8\ub378 \uad6c\ucd95 \ub2e8\uacc4\uc5d0\uc11c\ub294 GRU \ub808\uc774\uc5b4\ub97c \ud3ec\ud568\ud55c \uc2e0\uacbd\ub9dd\uc744 \uc124\uacc4\ud569\ub2c8\ub2e4. TensorFlow \ub610\ub294 PyTorch \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubaa8\ub378\uc744 \uad6c\ud604\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<pre><code>\nimport tensorflow as tf\nfrom tensorflow.keras.models import Sequential\nfrom tensorflow.keras.layers import GRU, Dense\n\nmodel = Sequential()\nmodel.add(GRU(50, return_sequences=True, input_shape=(timesteps, features)))\nmodel.add(GRU(50))\nmodel.add(Dense(1))\nmodel.compile(optimizer='adam', loss='mean_squared_error')\n<\/code><\/pre>\n<h3>4.4 \ubaa8\ub378 \ud6c8\ub828<\/h3>\n<p>\ud6c8\ub828 \ub370\uc774\ud130\uc14b\uc744 \uc0ac\uc6a9\ud558\uc5ec \ubaa8\ub378\uc744 \ud6c8\ub828\uc2dc\ud0b5\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c 20~80%\uc758 \ub370\uc774\ud130\ub97c \ud6c8\ub828\uc5d0 \uc0ac\uc6a9\ud558\uace0, \ub098\uba38\uc9c0\ub97c \uac80\uc99d\uc5d0 \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/p>\n<pre><code>\nmodel.fit(X_train, y_train, epochs=100, batch_size=32, validation_data=(X_val, y_val))\n<\/code><\/pre>\n<h3>4.5 \uacb0\uacfc \ud3c9\uac00 \ubc0f \uc608\uce21<\/h3>\n<p>\ud6c8\ub828\ub41c \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec \ubbf8\ub798 \ub370\uc774\ud130\ub97c \uc608\uce21\ud558\uace0, \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ud3c9\uac00\ud558\ub294 \ub2e8\uacc4\uc785\ub2c8\ub2e4. RMSE \ubc0f MAE\uc640 \uac19\uc740 \uc9c0\ud45c\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud3c9\uac00\ud569\ub2c8\ub2e4.<\/p>\n<pre><code>\npredictions = model.predict(X_test)\nrmse = np.sqrt(np.mean((predictions - y_test) ** 2))\n<\/code><\/pre>\n<h2>5. GRU \uae30\ubc18 \ud2b8\ub808\uc774\ub529 \uc804\ub7b5 \uad6c\ucd95<\/h2>\n<p>GRU \ubaa8\ub378\uc744 \uae30\ubc18\uc73c\ub85c \ud55c \ud2b8\ub808\uc774\ub529 \uc804\ub7b5\uc740 \uc5ec\ub7ec \uac00\uc9c0 \ubc29\ubc95\uc73c\ub85c \uad6c\ud604\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc5ec\uae30\uc5d0\uc11c\ub294 \uac04\ub2e8\ud55c \ub9e4\ub9e4 \uc2e0\ud638\ub97c \uc0dd\uc131\ud574\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>5.1 \ub9e4\ub9e4 \uc2e0\ud638 \uc0dd\uc131<\/h3>\n<p>\uc608\uce21\ud55c \uac00\uaca9\uacfc \uc2e4\uc81c \uac00\uaca9\uc744 \ube44\uad50\ud558\uc5ec \ub9e4\ub9e4 \uc2e0\ud638\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc778 \ubc29\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n<ul>\n<li><strong>\uac00\uaca9 \uc0c1\uc2b9 \uc2dc \ub9e4\uc218:<\/strong> \uc608\uce21 \uac00\uaca9\uc774 \ud604\uc7ac \uac00\uaca9\ubcf4\ub2e4 \ub192\uc744 \uacbd\uc6b0 \ub9e4\uc218 \uc2e0\ud638 \ubc1c\uc0dd<\/li>\n<li><strong>\uac00\uaca9 \ud558\ub77d \uc2dc \ub9e4\ub3c4:<\/strong> \uc608\uce21 \uac00\uaca9\uc774 \ud604\uc7ac \uac00\uaca9\ubcf4\ub2e4 \ub0ae\uc744 \uacbd\uc6b0 \ub9e4\ub3c4 \uc2e0\ud638 \ubc1c\uc0dd<\/li>\n<\/ul>\n<h3>5.2 \uc804\ub7b5 \ubc31\ud14c\uc2a4\ud2b8<\/h3>\n<p>\uad6c\ucd95\ud55c \ud2b8\ub808\uc774\ub529 \uc804\ub7b5\uc744 \ubc31\ud14c\uc2a4\ud2b8\ud558\uc5ec \uacfc\uac70 \ub370\uc774\ud130\uc5d0\uc11c\uc758 \uc131\uacfc\ub97c \ud3c9\uac00\ud569\ub2c8\ub2e4. \uc774\ub294 \uc804\ub7b5\uc758 \uc2e0\ub8b0\uc131\uc744 \ud655\uc778\ud558\ub294 \uc911\uc694\ud55c \ub2e8\uacc4\uc785\ub2c8\ub2e4.<\/p>\n<pre><code>\ndef backtest(strategy, data):\n    results = []\n    for date in data.index:\n        # \ub9e4\ub9e4 \uc2e0\ud638 \ubc0f \ud3ec\uc9c0\uc158 \uad00\ub9ac \ub85c\uc9c1\n        results.append(strategy.make_decision(date))\n    return results\n<\/code><\/pre>\n<h3>5.3 \uc2e4\uc81c \uac70\ub798 \uc2dc\uc2a4\ud15c \uad6c\ud604<\/h3>\n<p>\uc774\uc81c \uc2e4\uc81c \uac70\ub798 \uc2dc\uc2a4\ud15c\uc744 \uad6c\ucd95\ud569\ub2c8\ub2e4. API\ub97c \ud65c\uc6a9\ud558\uc5ec \uc790\ub3d9\ud654\ub41c \uac70\ub798\ub97c \uc2e4\ud589\ud558\uace0, \uc2e4\uc2dc\uac04 \uc2dc\uc7a5 \ub370\uc774\ud130\uc5d0 \ub530\ub77c \ubaa8\ub378\uc744 \uc5c5\ub370\uc774\ud2b8\ud569\ub2c8\ub2e4.<\/p>\n<pre><code>\nimport requests\n\ndef execute_trade(signal):\n    if signal == 'buy':\n        requests.post(\"https:\/\/api.broker.com\/buy\", data={'amount': 100})\n    elif signal == 'sell':\n        requests.post(\"https:\/\/api.broker.com\/sell\", data={'amount': 100})\n<\/code><\/pre>\n<h2>6. \uacb0\ub860<\/h2>\n<p>GRU\ub294 \uc2dc\uacc4\uc5f4 \ub370\uc774\ud130 \uc608\uce21\uc5d0 \uac15\ub825\ud55c \ub2a5\ub825\uc744 \ubc1c\ud718\ud558\ub294 \ub525\ub7ec\ub2dd \ubaa8\ub378\ub85c, \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc5d0\uc11c \ub9e4\uc6b0 \uc720\uc6a9\ud55c \ub3c4\uad6c\uc785\ub2c8\ub2e4. GRU\ub97c \ud65c\uc6a9\ud55c \uae08\uc735 \uc2dc\uc7a5 \uc608\uce21 \ubc0f \ud2b8\ub808\uc774\ub529 \uc804\ub7b5 \uad6c\ucd95\uc744 \ud1b5\ud574 \ubcf4\ub2e4 \uc2a4\ub9c8\ud2b8\ud55c \ud22c\uc790 \uacb0\uc815\uc744 \ub0b4\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ud558\uc9c0\ub9cc \ubaa8\ub4e0 \ud22c\uc790\uc5d0\ub294 \uc704\ud5d8\uc774 \ub530\ub974\ubbc0\ub85c \ubaa8\ub378\uc758 \uc131\ub2a5\uacfc \ub9ac\uc2a4\ud06c \uad00\ub9ac\uc5d0 \uac01\ubcc4\ud55c \uc8fc\uc758\uac00 \ud544\uc694\ud569\ub2c8\ub2e4.<\/p>\n<p>\uc55e\uc73c\ub85c\ub3c4 \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc744 \uc774\uc6a9\ud55c \ub2e4\uc591\ud55c \uae08\uc735 \uae30\uc220\uc744 \uc5f0\uad6c\ud558\uace0, \ub354 \ub098\uc740 \ud22c\uc790 \uc804\ub7b5\uc744 \uac1c\ubc1c\ud558\uae30 \uc704\ud574 \uc9c0\uc18d\uc801\uc73c\ub85c \ud559\uc2b5\ud574 \ub098\uac00\uae38 \ubc14\ub78d\ub2c8\ub2e4.<\/p>\n<p>\uac10\uc0ac\ud569\ub2c8\ub2e4!<\/p>\n<p><\/body><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\uc548\ub155\ud558\uc138\uc694! \uc624\ub298\uc740 \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uc911\uc694\ud55c \ub3c4\uad6c \uc911 \ud558\ub098\uc778 GRU (Gated Recurrent Unit)\uc5d0 \ub300\ud574 \uae4a\uc774 \uc788\uac8c \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. GRU\ub294 \uc2dc\uacc4\uc5f4 \ub370\uc774\ud130 \uc608\uce21\uc5d0 \uac15\ub825\ud55c \uc131\ub2a5\uc744 \ubcf4\uc774\ubbc0\ub85c \uae08\uc735 \uc2dc\uc7a5\uc758 \uc790\ub3d9 \ub9e4\ub9e4 \uc2dc\uc2a4\ud15c\uc5d0 \ub110\ub9ac \uc0ac\uc6a9\ub429\ub2c8\ub2e4. GRU\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc54c\uc544\ubcf4\uba70, \uc774\ub97c \ud1b5\ud574 \uace0\uae09 \ud2b8\ub808\uc774\ub529 \uc804\ub7b5\uc758 \uad6c\ucd95 \ubc29\ubc95\uc5d0 \ub300\ud574\uc11c\ub3c4 \ub17c\uc758\ud558\uaca0\uc2b5\ub2c8\ub2e4. 1. \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc774\ub780? \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529(Algorithmic Trading)\uc740 \ubbf8\ub9ac \uc124\uc815\ub41c \uaddc\uce59\uc5d0 &hellip; <a href=\"https:\/\/atmokpo.com\/w\/28676\/\" class=\"more-link\">\ub354 \ubcf4\uae30<span class=\"screen-reader-text\"> &#8220;\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, GRU&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[29],"tags":[],"class_list":["post-28676","post","type-post","status-publish","format-standard","hentry","category-29"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, GRU - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/atmokpo.com\/w\/28676\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, GRU - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\uc548\ub155\ud558\uc138\uc694! \uc624\ub298\uc740 \uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uc911\uc694\ud55c \ub3c4\uad6c \uc911 \ud558\ub098\uc778 GRU (Gated Recurrent Unit)\uc5d0 \ub300\ud574 \uae4a\uc774 \uc788\uac8c \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. GRU\ub294 \uc2dc\uacc4\uc5f4 \ub370\uc774\ud130 \uc608\uce21\uc5d0 \uac15\ub825\ud55c \uc131\ub2a5\uc744 \ubcf4\uc774\ubbc0\ub85c \uae08\uc735 \uc2dc\uc7a5\uc758 \uc790\ub3d9 \ub9e4\ub9e4 \uc2dc\uc2a4\ud15c\uc5d0 \ub110\ub9ac \uc0ac\uc6a9\ub429\ub2c8\ub2e4. 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