Expressing equation in terms of sin/cos
If you substitute your solutions into LHS and get the RHS, then it is possible. Greg

4 months ago | 0

How to decide window size for a moving average filter?
I'm very surprised that none of the previous responses mentioned 1. Determine characteristic self correlation lengths usi...

4 months ago | 0

finding optimal neural network architecture using genetic algorithms
0. The genetic approach is a waste of time. It takes too long. 1.Typically, a single hidden layer is sufficient. 2. Minimize t...

5 months ago | 0

Neuron Network input variables-Missing data
Sorry: You have to predict the missing data as best you can. Greg

5 months ago | 0

Why my network is not giving the desired output
Design(training+validation), test and new data should all have the same summary statistics BEFORE NORMALIZATION. This may requir...

5 months ago | 0

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How to predict future responses y(t + 1) from the training of a narxnet network with past data of x (t) and y (t)? (NARXNET)
YOU DO NOT HAVE X and Y !!! YOU HAVE X and T where T = Ydesired Hope this helps Thank you for formally accepting m...

5 months ago | 1

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Testing a Backpropagation Neural Network
You are probably OVERTRAINING AN OVERFIT NET OVERFITTING: Using more unknown hidden nodes than number ...

5 months ago | 0

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The performance of hidden neurons
I think I misinterpreted the question. Now I think you mean when I increase the number of hidden nodes from 4 to 5 why do I star...

5 months ago | 0

Crossentropy loss function - What is a good performance goal?
These equations are not necessarily precise. For example: data = design + test design = training + validation In partic...

5 months ago | 0

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How can two neural networks be compared for regression based on training and testing results ?
The MATLAB default is training/validation/testing fractions of 0.7/0.15/0.15 Typically, the performance depends on a 1. A...

5 months ago | 0

what types of Network and training are suitable for returning a more precise value?
Plot your targets vs your inputs to see if some of the inputs are not worth using. and/or you can try rejecting inputs based ...

5 months ago | 0

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Issue while mapping weights to a New Feedforward Neural network created using newff
You need to add another component equal to unity to account for a bias weight. Thank you for formally accepting m answer. ...

5 months ago | 0

how to adjust derivatives of backpropagation according to custom error function
Your error function is not at a minimum when output = target Why did you not use the standard E = (output - target)^2 ...

5 months ago | 0

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How to compute gradients using the Neural Network Toolbox software?

5 months ago | 0

An error occurred while trying to determine whether "readData" is a function name.

6 months ago | 0

Create neural Network with multiple outputs
See my comment. Greg

6 months ago | 0

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Overfitting of Regression Plot for a Feedforward Neural Network
OVERFITTING IS NOT "THE" PROBLEM !!! In general, the problem is OVERTRAINING an overfit net. My solution is simple: DO NOT OV...

6 months ago | 0

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Neural Network Last Layer Shows a Different Number of Outputs
Line 2: target, not output trainFcn is undefined. I get 15, not 13 in the figure Hope this helps. Thank you for formal...

6 months ago | 0

When I should stop training a neural network?
The danger is OVERTRAINING an OVERFIT NET. There are several approaches. 1. PREVENT OVERFITTING the I-H-O net by ...

6 months ago | 1

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Artificial Neural Network questions
The typical NN has a set of input nodes ( which for some reason is not defined to be a layer !!! ), a middle layer and an outpu...

6 months ago | 0

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Do Multiple Output Neural Networks share the same weights and biases?
The similarity or orthogonality of the outputs tends to be irrelevant. If two set of outputs are not caused by a significant ...

6 months ago | 0

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What is the difference between pca and processpca commands?
help pca doc pca help processpca doc processpca Hope this helps Thank you for formally accepting my answer Greg

6 months ago | 0

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Difference between 2D input and multiple input with recurrent neural networks for time series
Written MATLAB should treat the cases the same. Unfortunately I don't have time to prove it Greg

6 months ago | 1

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how can i train my network for test and validation data?
The MATLAB default AUTOMATICALLY splits the data into TRAINING + VALIDATION+TEST SUBSETS in the ratios 0.7/0.15/0.15. For r...

6 months ago | 0

Best Neural Network for Multivariate Regression
Use FITNET. Accept all parameter settings. Train 10 models with different random initial weights If unsuccessful. Repeat wi...

6 months ago | 0

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how can i train my network for test and validation data?
Where is your training data? The MATLAB default is a random choice of trn/val/tst = 0.7/0.15/0.15 I choose candidate values ...

6 months ago | 0

Early Stopping for Deep Networks
It is not clear to me that, based on a random 15% of the data, this is a better choice. It would be interesting to make a formal...

6 months ago | 0

How to compute gradients using the Neural Network Toolbox software through a backpropagation process?
You are confused The target function is constant and independent of the weights. Hope this helps. *Thank you for formal...

6 months ago | 0