1d卷积神经网络matlab代码

以下是一个简单的1D卷积神经网络的MATLAB代码示例：

% 读取数据
load('data.mat');

% 定义卷积神经网络结构
net = network;
net.numInputs = 1;
net.numLayers = 3;

% 定义输入层
net.inputs{1}.size = size(data, 2);

% 定义卷积层
net.layers{1}.type = 'conv';
net.layers{1}.size = 5;
net.layers{1}.stride = 1;
net.layers{1}.padding = 0;
net.layers{1}.transferFcn = 'relu';

% 定义池化层
net.layers{2}.type = 'pool';
net.layers{2}.size = 2;
net.layers{2}.stride = 2;

% 定义输出层
net.layers{3}.type = 'output';
net.layers{3}.size = 1;
net.layers{3}.transferFcn = 'softmax';

% 连接各层
net = connect(net, 1, 2);
net = connect(net, 2, 3);

% 训练网络
net.trainFcn = 'trainscg';
net.trainParam.epochs = 100;
net.trainParam.show = 10;
net.trainParam.lr = 0.01;
net = train(net, data, labels);

% 测试网络
predictions = net(data);
accuracy = sum(predictions == labels) / length(labels);
disp(['Accuracy: ', num2str(accuracy)]);

请注意，此代码仅供参考，您需要根据您的数据和任务进行适当的修改和调整。此外，您需要确保您的MATLAB版本支持深度学习工具箱。