出错 untitled2 (第 30 行) fourier_descriptor{k} = cpx2desc(fourier(boundary(:, 2) + 1i * boundary(:, 1)), 30);
时间: 2024-03-28 09:41:09 浏览: 15
这段代码出错可能有几种可能性,可以根据报错信息来判断具体原因。但是,根据代码来看,可能是以下原因之一:
1. 变量未定义:可能是变量 `boundary` 或 `cpx2desc` 或 `fourier_descriptor` 未定义或未被正确初始化。
2. 参数错误:可能是 `cpx2desc` 函数中的参数不正确,导致出错。比如,第二个参数需要是一个整数,但是传入了一个浮点数或字符串等非整数类型的参数。
3. 数组越界:可能是 `boundary` 数组中的某些索引超出了数组边界,导致出错。
你可以检查代码并根据报错信息来判断具体原因,并进行相应的修改。
相关问题
出现了>> untitled2_neuralnet2 函数或变量 'train_labels' 无法识别。 出错 untitled2_neuralnet2 (第 5 行) train_labels_new = train_labels + 1;。请出具修改后的全部代码
好的,请您将以下代码替换为您的代码:
```matlab
load('train_data.mat');
load('train_labels.mat');
train_labels_new = train_labels + 1;
num_classes = 10;
input_size = size(train_data, 2);
hidden_layer_size = 100;
batch_size = 100;
epochs = 5;
learning_rate = 0.1;
% Convert labels to one-hot encoding
train_labels_one_hot = full(ind2vec(train_labels_new'));
% Initialize weights
weights_input_hidden = randn(input_size, hidden_layer_size);
weights_hidden_output = randn(hidden_layer_size, num_classes);
% Training loop
for epoch = 1:epochs
for batch = 1:batch_size:size(train_data, 1)
% Forward pass
batch_data = train_data(batch:batch+batch_size-1, :);
hidden_layer_output = sigmoid(batch_data * weights_input_hidden);
output_layer = hidden_layer_output * weights_hidden_output;
output_softmax = softmax(output_layer);
% Backward pass
error = train_labels_one_hot(batch:batch+batch_size-1, :) - output_softmax;
output_delta = error .* softmax_deriv(output_softmax);
hidden_delta = output_delta * weights_hidden_output' .* sigmoid_deriv(hidden_layer_output);
% Update weights
weights_hidden_output = weights_hidden_output + (hidden_layer_output' * output_delta) * learning_rate;
weights_input_hidden = weights_input_hidden + (batch_data' * hidden_delta) * learning_rate;
end
end
% Save weights
save('weights.mat', 'weights_input_hidden', 'weights_hidden_output');
```
这里我将`train_labels`加1的操作放在了代码中,同时修改了一些变量名以匹配新的`train_labels_new`变量。
以上代码出现了问题函数或变量 'a1' 无法识别。 出错 untitled (第 78 行) eqn = u1 == u30_1 + 3*a1*u21_1 + 3*a^2*u12_1 + a^3*u03_1;
在第78行之前添加 `syms a1;`语句,即可解决问题函数或变量 'a1' 无法识别的问题。修改后的代码如下:
```matlab
[m,n] = size(I1);
for i = 1:m
for j = 1:n
u12_1 = sum(sum((i-x_bar_1)^1*(j-y_bar_1)^2*I1));
u21_1 = sum(sum((i-x_bar_1)^2*(j-y_bar_1)^1*I1));
u03_1 = sum(sum((i-x_bar_1)^0*(j-y_bar_1)^3*I1));
u30_1 = sum(sum((i-x_bar_1)^3*(j-y_bar_1)^0*I1));
u12_2 = sum(sum((i-x_bar_2)^1*(j-y_bar_2)^2*I2));
u21_2 = sum(sum((i-x_bar_2)^2*(j-y_bar_2)^1*I2));
u03_2 = sum(sum((i-x_bar_2)^0*(j-y_bar_2)^3*I2));
u30_2 = sum(sum((i-x_bar_2)^3*(j-y_bar_2)^0*I2));
u12_3 = sum(sum((i-x_bar_3)^1*(j-y_bar_3)^2*I3));
u21_3 = sum(sum((i-x_bar_3)^2*(j-y_bar_3)^1*I3));
u03_3 = sum(sum((i-x_bar_3)^0*(j-y_bar_3)^3*I3));
u30_3 = sum(sum((i-x_bar_3)^3*(j-y_bar_3)^0*I3));
u12_4 = sum(sum((i-x_bar_4)^1*(j-y_bar_4)^2*I4));
u21_4 = sum(sum((i-x_bar_4)^2*(j-y_bar_4)^1*I4));
u03_4 = sum(sum((i-x_bar_4)^0*(j-y_bar_4)^3*I4));
u30_4 = sum(sum((i-x_bar_4)^3*(j-y_bar_4)^0*I4));
end
end
syms a1;
eqn = u1 == u30_1 + 3*a1*u21_1 + 3*a1^2*u12_1 + a1^3*u03_1;
eqn = subs(eqn, u1, 0);
a1 = solve(eqn, a1);
```