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improve the performance of nprtool
maryam - 2021-08-03

I used the neural network toolbox ( nprtool ) for classifying my objects. i used 75% of data for training and 15% for both validation and testing.also...

NARX Tapped Delay Line
Ilyas - 2021-08-03

What does the Tapped Delay Line (TDL) in NARX NN exactly do? 1- Does it sum the previous values (either input or target) and use as input?   Because ...

Does Matlab has relative square error available in Neural Network toolbox?
Anderson - 2021-08-03

I have seen that MSE, SSE, MAE and SAE are possible training functions of a neural network in Matlab. Does it have relative square error available?  ...

Newff vs patternet in my program
Fereshteh - 2021-08-03

I have written a code , the purpose of the code is classification of EEG datasets related to emotion, I have used both newff and patternet , I have al...

Neural nw : Inputs and targets have different numbers of samples
farzad - 2021-08-02

Hi All   I have a code , I am just checking how it works , my input matrice is : input = [0.0600000000000000 0.00100000000000000 45 0.050800000000000...

Neural Network Time Series Prediction - changing the inital state
Michael - 2021-08-02

Hello, I'm working currently with prediction-problems for dynamical systems, e.g. single pendulum with friction. At the moment I'm testing neural netw...

How to get R squared values in NARX Neural Network?
Hien_Quang_Bui - 2021-08-02

Hi, I'd like to ask your support how to get R squared values in NARX Neural Network. Is it function or code to get it? I attach my NARX network as bel...

neural network programming error
Nimisha_shah - 2021-08-02

clear all;clc a=rand(1,1000); b=rand(1,1000); c=rand(1,1000); y=a*2+b*3+c*5 I=[a; b; c;] T=y net = newff([0 1;0 1 ;0 1],[10 1]); net=train(net,I,T); J...

trial and error approach to find optimal hidden neurones number
coqui - 2021-08-02

I have decomposed the data into three parts: 70% (training), 10% (validation) and 20% (testing). When I used trial and error approch, I found the smal...

How to determine whether to remove a generated outlier or not in stepwise regression?
As_Goyal - 2021-08-02

Dear Friends, I have developed a stepwise regression model. I am getting a outlier. I need to know the effective weight of the outlier so that I came ...

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