sequence 3 tasks
i use a board 6023E and pc pentium4 3Ghz
My problem is how create a delay with few microseconds between two tasks?
I need creat three tasks.
Fisrt create a finte pulse train for this i use a counter.
Second create a delay for this i use again a conter to creat a pulse train in witch the delay is equal to frequency x number of pulses.
Third measure pulses for this i use again a counter but in this case is a counter input.
In attachment i send a picture with my program.
I dont understand why my program dont work? my program take a lote ...Perceptron training question
For an ANN course we got as homework to write code that trains a 2
inputs perceptron with AND/OR functions. I have seen in some books a
simple algorithm that converges quickly (bipolar input and output, at
each step correct weights for training inputs that don't produce the
right result). However I had to implement a variation of this algorithm
: binary input & output and at each step select a random training
vector and adjust weights if the output is wrong. This worked too but
now I have to improve this algorithm with a learning factor gamma and
use this gamma and the sign...create a perceptron in Matlab
I've to create a perceptron and I tried with the followind code:
net.trainParam.epochs = 20;
net = train(net, P',T')
In the excel datasheet I've the data from the column 1 to 32 (these are
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The fault is in the target matrix dimension but i donn't understand ...Creating/Calling NN Train Function
Hi all. I am creating a series of functions to implement a type of
neural network. One of the functions is called to train the already
created network. It is defined:
Within that function, saved as an .m file called "AANN_train", is the
call to the built-in neural network toolbox function "train":
[net,tr] = train(net,Ptrain,Ttrain,,,val,test);
But when I try to call my function AANN_train, I get an error message:
[best_net,best_tr] = AANN_train(net,Ptrain,Trai...Create a semi-random pulse train
I'm trying to simulate a real-life situation for a Smart Grid system. I need to recognize a given pulse train in a transmission line and differentiate it from random pulses that also come at any given time in the line.
The pulse train to be recognized is a simple 1:1 pulse train of say 5 pulses of same amplitude, 4 Ampere for example. I'm using the autocorrelation function to analyze the signal and see if the pulse trains distinctive triangle-shaped ACF is found.
My problem right now is in the simulation of the random pulses that also come in the line, something li...Can I create pulse train above 167s?
I need to generate pulse train with pulse width longer than 167.7 sec.
using card 7030/6030E. Can anybody help me? Thanks
The 167.7 sec limitation is caused by dividing 100 kHz by 2^24. So
all you have to do is use two counters instead of one. Use the first
counter to generate a pulse train slower than 100kHz and you can use
the second counter to generate a very slow pulse train if you set its
source to the out of the previous counter. You will have to use the
pulse specs on the second counter, because it is going to be used to
divide down the initial pulse train.
I hope this helps.
Jos...Need some recomendations for creating training set.
I am going to build a neural network for approximating a smooth
This function has values ranging from 0 to 100 (a percent of
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100% and much less trainig samples with intermediate concentration
The amount of samples with target concentrations of 0% or 100% is about
9000-10000 times greater, than amount of samples with other target
10940 samples with target=0%
209 samples with target=1%
44 samples with target=12%
31 samples wit...Suitable Training Algorithms for A Multilayer Perceptron Network
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a b <----classified as
30 17 a (true
0 245 b classes)
The training data set contains 292 instances. I used the training data
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I have a training dataset of size 1000*30 . I want it to train 10 different neural nets. Now I Do Not want to use the entire training dataset rather have different subsamples for each net. I am using probability measure to create such training samples. Example for net 1 I have probability of 0.60, implies each pattern of training set has 60 percent chance of being there in training sample of net 1, for net 2, prob = .5, implies 50% chances of each pattern being there in training sample of net 2. I do not how to implement this using NN toolbox.
Kindly help me in doing so.