{"id":61312,"date":"2025-04-29T14:30:51","date_gmt":"2025-04-29T06:30:51","guid":{"rendered":"https:\/\/fwq.ai\/blog\/61312\/"},"modified":"2025-04-29T14:30:51","modified_gmt":"2025-04-29T06:30:51","slug":"%e9%85%8d%e7%bd%aelinux%e7%b3%bb%e7%bb%9f%e4%bb%a5%e6%94%af%e6%8c%81%e6%99%ba%e8%83%bd%e4%ba%a4%e9%80%9a%e5%92%8c%e6%99%ba%e8%83%bd%e7%89%a9%e6%b5%81%e5%bc%80%e5%8f%91-2","status":"publish","type":"post","link":"https:\/\/fwq.ai\/blog\/61312\/","title":{"rendered":"\u914d\u7f6eLinux\u7cfb\u7edf\u4ee5\u652f\u6301\u667a\u80fd\u4ea4\u901a\u548c\u667a\u80fd\u7269\u6d41\u5f00\u53d1"},"content":{"rendered":"

\u914d\u7f6elinux\u7cfb\u7edf\u4ee5\u652f\u6301\u667a\u80fd\u4ea4\u901a\u548c\u667a\u80fd\u7269\u6d41\u5f00\u53d1<\/p>\n

\u667a\u80fd\u4ea4\u901a\u548c\u667a\u80fd\u7269\u6d41\u662f\u73b0\u4ee3\u79d1\u6280\u7684\u91cd\u8981\u5e94\u7528\u9886\u57df\uff0c\u901a\u8fc7\u6574\u5408\u7269\u8054\u7f51\u3001\u4eba\u5de5\u667a\u80fd\u548c\u5927\u6570\u636e\u7b49\u6280\u672f\uff0c\u53ef\u4ee5\u5b9e\u73b0\u4ea4\u901a\u6d41\u91cf\u4f18\u5316\u3001\u7269\u6d41\u8def\u5f84\u89c4\u5212\u548c\u8fd0\u8f93\u6548\u7387\u63d0\u5347\u3002\u5728\u8fd9\u4e2a\u8fc7\u7a0b\u4e2d\uff0c\u914d\u7f6eLinux\u7cfb\u7edf\u6210\u4e3a\u81f3\u5173\u91cd\u8981\u7684\u4e00\u6b65\u3002\u672c\u6587\u5c06\u4ecb\u7ecd\u5982\u4f55\u914d\u7f6eLinux\u7cfb\u7edf\u4ee5\u652f\u6301\u667a\u80fd\u4ea4\u901a\u548c\u667a\u80fd\u7269\u6d41\u7684\u5f00\u53d1\uff0c\u540c\u65f6\u63d0\u4f9b\u76f8\u5e94\u7684\u4ee3\u7801\u793a\u4f8b\u3002<\/p>\n

\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u5b89\u88c5\u5fc5\u8981\u7684\u8f6f\u4ef6\u5305\u548c\u4f9d\u8d56\u9879\u3002\u5728Ubuntu\u7cfb\u7edf\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\u6240\u9700\u7684\u8f6f\u4ef6\u5305\uff1a<\/p>\n

sudo apt-get update\nsudo apt-get install -y python3 python3-pip\npip3 install numpy pandas tensorflow<\/pre>\n
  \u767b\u5f55\u540e\u590d\u5236   <\/p>\n
\u4e0a\u8ff0\u547d\u4ee4\u4f1a\u66f4\u65b0\u7cfb\u7edf\u8f6f\u4ef6\u5305\u4fe1\u606f\uff0c\u5e76\u5b89\u88c5Python3\u548c\u76f8\u5173\u7684\u8f6f\u4ef6\u5305\uff0c\u5176\u4e2dTensorFlow\u662f\u4e00\u4e2a\u6d41\u884c\u7684\u673a\u5668\u5b66\u4e60\u6846\u67b6\uff0c\u5728\u667a\u80fd\u4ea4\u901a\u548c\u667a\u80fd\u7269\u6d41\u4e2d\u5e7f\u6cdb\u5e94\u7528\u3002<\/p>\n
\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u9700\u8981\u914d\u7f6e\u73af\u5883\u53d8\u91cf\u4ee5\u4fbf\u7cfb\u7edf\u53ef\u4ee5\u6b63\u786e\u5730\u8bc6\u522b\u5e76\u8fd0\u884cPython\u7a0b\u5e8f\u3002\u5728Ubuntu\u7cfb\u7edf\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u4fee\u6539.bashrc\u6587\u4ef6\u6765\u914d\u7f6e\u73af\u5883\u53d8\u91cf\u3002\u9996\u5148\uff0c\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u6253\u5f00.bashrc\u6587\u4ef6\uff1a<\/p>\n
nano ~\/.bashrc<\/pre>\n
  \u767b\u5f55\u540e\u590d\u5236   <\/p>\n
\u7136\u540e\uff0c\u5728\u6587\u4ef6\u672b\u5c3e\u6dfb\u52a0\u4ee5\u4e0b\u884c\uff1a<\/p>\n
export PATH=$PATH:\/usr\/local\/bin\nexport LD_LIBRARY_PATH=$LD_LIBRARY_PATH:\/usr\/local\/lib<\/pre>\n
  \u767b\u5f55\u540e\u590d\u5236   <\/p>\n
\u4fdd\u5b58\u6587\u4ef6\u5e76\u9000\u51fa\u3002\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u4f7f\u914d\u7f6e\u751f\u6548\uff1a<\/p>\n
source ~\/.bashrc<\/pre>\n
  \u767b\u5f55\u540e\u590d\u5236   <\/p>\n
\u73b0\u5728\uff0c\u6211\u4eec\u53ef\u4ee5\u5f00\u59cb\u5f00\u53d1\u667a\u80fd\u4ea4\u901a\u548c\u667a\u80fd\u7269\u6d41\u7684\u76f8\u5173\u529f\u80fd\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\u4ee3\u7801\uff0c\u6f14\u793a\u4e86\u5982\u4f55\u4f7f\u7528TensorFlow\u8fdb\u884c\u4ea4\u901a\u6d41\u91cf\u9884\u6d4b\uff1a<\/p>\n
import numpy as np\nimport pandas as pd\nimport tensorflow as tf\n\n# \u5bfc\u5165\u6570\u636e\u96c6\ndata = pd.read_csv('traffic_data.csv')\nX = data.iloc[:, :-1].values\ny = data.iloc[:, -1].values\n\n# \u6570\u636e\u9884\u5904\u7406\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.preprocessing import StandardScaler\n\nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=0)\n\nsc = StandardScaler()\nX_train = sc.fit_transform(X_train)\nX_test = sc.transform(X_test)\n\n# \u6784\u5efa\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\nmodel = tf.keras.models.Sequential()\nmodel.add(tf.keras.layers.Dense(units=32, activation='relu', input_shape=(X_train.shape[1],)))\nmodel.add(tf.keras.layers.Dense(units=16, activation='relu'))\nmodel.add(tf.keras.layers.Dense(units=1, activation='linear'))\n\n# \u7f16\u8bd1\u5e76\u8bad\u7ec3\u6a21\u578b\nmodel.compile(optimizer='adam', loss='mean_squared_error')\nmodel.fit(X_train, y_train, batch_size=32, epochs=100, verbose=1)\n\n# \u9884\u6d4b\u5e76\u8bc4\u4f30\u6a21\u578b\ny_pred = model.predict(X_test)\nmse = tf.keras.losses.mean_squared_error(y_test, y_pred).numpy()\nprint('Mean Squared Error:', mse)<\/pre>\n
  \u767b\u5f55\u540e\u590d\u5236   <\/p>\n
\u4e0a\u8ff0\u4ee3\u7801\u4f7f\u7528\u4e86\u4e00\u4e2a\u7b80\u5355\u7684\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u6765\u9884\u6d4b\u4ea4\u901a\u6d41\u91cf\u3002\u5148\u5bfc\u5165\u6570\u636e\u96c6\uff0c\u7136\u540e\u8fdb\u884c\u6570\u636e\u9884\u5904\u7406\uff0c\u5305\u62ec\u62c6\u5206\u8bad\u7ec3\u96c6\u548c\u6d4b\u8bd5\u96c6\uff0c\u5e76\u8fdb\u884c\u7279\u5f81\u7f29\u653e\u3002\u63a5\u4e0b\u6765\uff0c\u6784\u5efa\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\uff0c\u5e76\u4f7f\u7528Adam\u4f18\u5316\u5668\u548c\u5747\u65b9\u8bef\u5dee\u635f\u5931\u51fd\u6570\u7f16\u8bd1\u6a21\u578b\u3002\u6700\u540e\uff0c\u8fdb\u884c\u6a21\u578b\u8bad\u7ec3\u3001\u9884\u6d4b\u548c\u8bc4\u4f30\u3002<\/p>\n
\u9664\u4e86\u667a\u80fd\u4ea4\u901a\u7684\u6d41\u91cf\u9884\u6d4b\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u5229\u7528Linux\u7cfb\u7edf\u652f\u6301\u7684\u5176\u4ed6\u529f\u80fd\u6765\u5f00\u53d1\u667a\u80fd\u7269\u6d41\u7684\u8def\u5f84\u89c4\u5212\u548c\u8fd0\u8f93\u4f18\u5316\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u5f00\u6e90\u7684\u8def\u5f84\u89c4\u5212\u5e93\uff0c\u5982Graphhopper\u6216OSRM\uff0c\u6765\u8ba1\u7b97\u6700\u77ed\u8def\u5f84\u3002\u6211\u4eec\u8fd8\u53ef\u4ee5\u4f7f\u7528Linux\u7cfb\u7edf\u63d0\u4f9b\u7684\u7f51\u7edc\u5de5\u5177\uff0c\u5982IP\u8def\u7531\u8868\u548cQoS\uff08\u670d\u52a1\u8d28\u91cf\uff09\u914d\u7f6e\uff0c\u6765\u4f18\u5316\u7269\u6d41\u8fd0\u8f93\u7684\u7f51\u7edc\u901a\u4fe1\u3002<\/p>\n
\u7efc\u4e0a\u6240\u8ff0\uff0c\u901a\u8fc7\u914d\u7f6eLinux\u7cfb\u7edf\u4ee5\u652f\u6301\u667a\u80fd\u4ea4\u901a\u548c\u667a\u80fd\u7269\u6d41\u7684\u5f00\u53d1\uff0c\u6211\u4eec\u53ef\u4ee5\u5229\u7528\u5f3a\u5927\u7684\u5f00\u6e90\u5de5\u5177\u548c\u5e93\uff0c\u5b9e\u73b0\u4ea4\u901a\u6d41\u91cf\u9884\u6d4b\u3001\u8def\u5f84\u89c4\u5212\u548c\u8fd0\u8f93\u4f18\u5316\u7b49\u529f\u80fd\u3002\u5e0c\u671b\u672c\u6587\u63d0\u4f9b\u7684\u914d\u7f6e\u548c\u4ee3\u7801\u793a\u4f8b\u80fd\u591f\u5e2e\u52a9\u8bfb\u8005\u66f4\u597d\u5730\u5f00\u5c55\u76f8\u5173\u7684\u5f00\u53d1\u5de5\u4f5c\u3002<\/p>\n
\u4ee5\u4e0a\u5c31\u662f\u914d\u7f6eLinux\u7cfb\u7edf\u4ee5\u652f\u6301\u667a\u80fd\u4ea4\u901a\u548c\u667a\u80fd\u7269\u6d41\u5f00\u53d1\u7684\u8be6\u7ec6\u5185\u5bb9\uff0c\u66f4\u591a\u8bf7\u5173\u6ce8FDCServers\u5176\u5b83\u76f8\u5173\u6587\u7ae0\uff01<\/p>\n","protected":false},"excerpt":{"rendered":"
\u914d\u7f6elinux\u7cfb\u7edf\u4ee5\u652f\u6301\u667a\u80fd\u4ea4\u901a\u548c\u667a\u80fd\u7269\u6d41\u5f00\u53d1 \u667a\u80fd\u4ea4\u901a\u548c\u667a\u80fd\u7269\u6d41\u662f\u73b0\u4ee3\u79d1\u6280\u7684\u91cd\u8981\u5e94\u7528\u9886\u57df\uff0c\u901a\u8fc7\u6574\u5408\u7269\u8054\u7f51\u3001\u4eba\u5de5\u667a\u80fd\u548c\u5927\u6570\u636e\u7b49\u6280\u672f\uff0c\u53ef\u4ee5\u5b9e\u73b0\u4ea4\u901a\u6d41\u91cf\u4f18\u5316\u3001\u7269\u6d41\u8def\u5f84\u89c4\u5212\u548c\u8fd0\u8f93\u6548\u7387\u63d0\u5347\u3002\u5728\u8fd9\u4e2a\u8fc7\u7a0b\u4e2d\uff0c\u914d\u7f6eLinux\u7cfb\u7edf\u6210\u4e3a\u81f3\u5173\u91cd\u8981\u7684\u4e00\u6b65\u3002\u672c\u6587\u5c06\u4ecb\u7ecd\u5982\u4f55\u914d\u7f6eLinux\u7cfb\u7edf\u4ee5\u652f\u6301\u667a\u80fd\u4ea4\u901a\u548c\u667a\u80fd\u7269\u6d41\u7684\u5f00\u53d1\uff0c\u540c\u65f6\u63d0\u4f9b\u76f8\u5e94\u7684\u4ee3\u7801\u793a\u4f8b\u3002 \u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u5b89\u88c5\u5fc5\u8981\u7684\u8f6f\u4ef6\u5305\u548c\u4f9d\u8d56\u9879\u3002\u5728Ubuntu\u7cfb\u7edf\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\u6240\u9700\u7684\u8f6f\u4ef6\u5305\uff1a sudo apt-get update sudo apt-get install -y python3 python3-pip pip3 install numpy pandas tensorflow \u767b\u5f55\u540e\u590d\u5236 \u4e0a\u8ff0\u547d\u4ee4\u4f1a\u66f4\u65b0\u7cfb\u7edf\u8f6f\u4ef6\u5305\u4fe1\u606f\uff0c\u5e76\u5b89\u88c5Python3\u548c\u76f8\u5173\u7684\u8f6f\u4ef6\u5305\uff0c\u5176\u4e2dTensorFlow\u662f\u4e00\u4e2a\u6d41\u884c\u7684\u673a\u5668\u5b66\u4e60\u6846\u67b6\uff0c\u5728\u667a\u80fd\u4ea4\u901a\u548c\u667a\u80fd\u7269\u6d41\u4e2d\u5e7f\u6cdb\u5e94\u7528\u3002 \u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u9700\u8981\u914d\u7f6e\u73af\u5883\u53d8\u91cf\u4ee5\u4fbf\u7cfb\u7edf\u53ef\u4ee5\u6b63\u786e\u5730\u8bc6\u522b\u5e76\u8fd0\u884cPython\u7a0b\u5e8f\u3002\u5728Ubuntu\u7cfb\u7edf\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u4fee\u6539.bashrc\u6587\u4ef6\u6765\u914d\u7f6e\u73af\u5883\u53d8\u91cf\u3002\u9996\u5148\uff0c\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u6253\u5f00.bashrc\u6587\u4ef6\uff1a nano ~\/.bashrc \u767b\u5f55\u540e\u590d\u5236 \u7136\u540e\uff0c\u5728\u6587\u4ef6\u672b\u5c3e\u6dfb\u52a0\u4ee5\u4e0b\u884c\uff1a export PATH=$PATH:\/usr\/local\/bin export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:\/usr\/local\/lib \u767b\u5f55\u540e\u590d\u5236 \u4fdd\u5b58\u6587\u4ef6\u5e76\u9000\u51fa\u3002\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u4f7f\u914d\u7f6e\u751f\u6548\uff1a source ~\/.bashrc \u767b\u5f55\u540e\u590d\u5236 \u73b0\u5728\uff0c\u6211\u4eec\u53ef\u4ee5\u5f00\u59cb\u5f00\u53d1\u667a\u80fd\u4ea4\u901a\u548c\u667a\u80fd\u7269\u6d41\u7684\u76f8\u5173\u529f\u80fd\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\u4ee3\u7801\uff0c\u6f14\u793a\u4e86\u5982\u4f55\u4f7f\u7528TensorFlow\u8fdb\u884c\u4ea4\u901a\u6d41\u91cf\u9884\u6d4b\uff1a import numpy as np import pandas as pd import tensorflow as tf # \u5bfc\u5165\u6570\u636e\u96c6 data = pd.read_csv(‘traffic_data.csv’) X = data.iloc[:, :-1].values […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[],"class_list":["post-61312","post","type-post","status-publish","format-standard","hentry","category-os"],"_links":{"self":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/61312","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/comments?post=61312"}],"version-history":[{"count":0,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/61312\/revisions"}],"wp:attachment":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/media?parent=61312"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/categories?post=61312"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/tags?post=61312"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}