MATLAB QUESTIONS & EXPERT ANSWERS

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...

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...

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 ...

After creating and storing an ANN in Matlab (ANN Toolbox V 7.0) I tried to compute new predictions using a new set of input observations with:   net(...

We are developing a neural network for classification there are 72 signals and there are 100 samples of each signal. We have extracted 49 parameters f...

i'm trying to to optimizing thyroeid example by pattern recognition . i wana modify hidden layer size , and i want it from ga function , in default wa...

Hello everyone, I'm trying to create a neural network which relates voltage(input) to air gap depth(output). There is no training happening after I us...

i need some help for building the best performance ann architecture for rainfall forecasting in a village in indonesia with 360 data (months in 30 yea...

I have run Ann for prediction with hidden nodes from 2-17 about 50 times. My question is which criteria I should rely on to select the best Ann? Shoul...

Hello! I'm trying to make a forecast program using neural networks. The training function I'm using is the Bayesian Regularization. Results are pretty...