Computer Network Communication Error Data Repair Method Based on Improved Convolutional Neural Network
Because the traditional CNN model often has the problem of insufficient performance when processing the one-dimensional signal data,it is difficult to effectively repair the wrong data in the computer network communication.For the above problems,a computer network communication error data repair method based on improved convolutional neural network is proposed.First,the extraction of computer network communication error data features based on improved convolutional neural network,reasonable selection and extraction of features can pro-vide strong support for the subsequent error data repair.Secondly,by constructing the convolu-tional neural network model,further adjustment and optimization should be made according to specific tasks and data characteristics.Finally,the processed data is input into the improved conv-olutional neural network for training to realize the repair of communication error data.The ex-perimental results show that,compared with the traditional method,the computer network com-munication error data repair method based on the improved convolutional neural network has a-chieved significant advantages in the repair accuracy,which proves the effectiveness of this method in improving the accuracy and efficiency of data repair.Therefore,this method provides an effective solution to the problem of error data repair in computer network communication and has broad application prospects.
network communicationcomputer networkerror data repairimprove convolu-tional neural network
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