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Is it possible to change some properties of only a subset of units (neurons) in a hidden layer?
I am wondering if it is possible to change some properties of only a subset of units (neurons) in a hidden layer? Let say you ha...
8 years 前 | 1 个回答 | 0
1
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Multi Input Multi Sequence Neural Network
The question is how to define a multi input multi sequence neural network (NN) in Matlab? There is a way to define multi sequ...
8 years 前 | 1 个回答 | 0
1
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How can I set the normalization of the performance parameter in training a neural network?
net.performParam.normalization does not have an option of 'normalized'. It has three options: 'none' (default: no normaliza...
How can I set the normalization of the performance parameter in training a neural network?
net.performParam.normalization does not have an option of 'normalized'. It has three options: 'none' (default: no normaliza...
8 years 前 | 1
| 已接受
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Why neural network sometimes performs worse when additional input variables are used?
Why neural network sometimes performs worse when additional input variables are used? I would expect a neural network traine...
8 years 前 | 1 个回答 | 0
1
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Selection of Neural Network Training Data
One can divide his/her data into training, validation and testing and use them to train a neural network model (regression in my...
8 years 前 | 1 个回答 | 0
1
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How to change the performance function of neural network to mean absolute relative error
I found my own answer for the performance function myperf = mse(1-y./t) as follows: net.performFcn='mse'; % this is the defau...
How to change the performance function of neural network to mean absolute relative error
I found my own answer for the performance function myperf = mse(1-y./t) as follows: net.performFcn='mse'; % this is the defau...
8 years 前 | 0
| 已接受
提问
How to change the performance function of neural network to mean absolute relative error
Hello, I know the Matlab NN toolbox has MSE, SSE, MAE and SAE performance functions but would like to implement a custom perf...
8 years 前 | 2 个回答 | 0
2
个回答提问
Single PLS model based on multiple datasets
Is there any way to train a single PLS model on several training datasets? Let X1, X2 and X3 be the predictive variables mat...
9 years 前 | 0 个回答 | 0
0
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Time Series Normalization??
If you have multiple inputs, and the amplitudes of your inputs are different then it is better to normalize your inputs. In othe...
Time Series Normalization??
If you have multiple inputs, and the amplitudes of your inputs are different then it is better to normalize your inputs. In othe...
14 years 前 | 0
