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I want to use Artificial Neural network in my research work. During training initially how is the weight-age fixed? For example in my research work I have input parameters such as, suppose Load, column spacing, length of building, width of building etc.
First I normalize all value into range 0 to 1 for each building.
Then how may I assume the Initial weight - age w11, w21 w31, I want to train this network in MLP architecture.
Here bias value and learning rate, and Momentum are also chosen initially, but how do I choose effectively? My output parameters are also 3, I have 50 different building data.
Thank you for your help.
Hi Guys! I work with genomic analysis of cattle. In my current project will make a Gene Network Analysis Associated with Quality Meat, starting a new systems biology approach called the Association Weight Matrix (AWM). Therefore, initially will need to perform a GWAS chip data 770k. Need one GWAS package that provides OUTPUT: p-value and additive genetic effect. Someone already has experience and can give any suggestions on what best software will adjust in my analysis? Some papers indicating the use of Qxpak5, but I did not adapt with this package. Thank U.
Is it correct to consider Round Trip Time (actually half of its value) as a way to calculate the one-way end-to-end delay from every node (source or relay) towards the sink node in a wireless sensor network? or what are the other ways?
Autocorrelation value is 0.3 and input cross-correlation error value is 3.Are the obtained results after training ANN is correct or wrong?
i read in some article that the trust value can be caluclated from direct experience of a consomers or from referrals and ratings that are exchanged between users in a social network (indirect evidence)
i whant to know :
-how we can calculate the trust of a service(single and composite )using such referrals and exchanged information ?
-what is indirect evidence ?
-what are technique and approach that are used for estimating the trust value of a service using indirect evidence?
can someone help be
i have combined an optimization metaheuristic algorithm and artificial neural network to tune and obtain best value for weights of it. does anyone know that which datasets are better to test? why?
The contribution ratio describe the ratio of the contribution of each input variable in the modeling process. It illustrates how the change in
each input variable influence the output value.
Can anybody suggest how to improve component based Software Quality Model? To implement this empirically, data values are also needed. If anyone has input values then I may apply some Matlab NN to check for its value?
I trained a set of data and the first performance plot in the attached document was obtained. I then retrained the network and the second performance plot was obtained. The mse value decreased after retraining but I am not sure if a performance plot with the best validation performance at 0 epochs indicates that the data was overfitted.
I'm doing a mini research on predicting a certain game tournament outcome (Dota 2) using backpropagation. My prediction structure consists of tables of (11) team's match histories against the other teams. Basically 1 set of tables for each team. The tables contains inputs of:
1. the opponent's team ID (nominal value of 1 to 11)
2. the (5) heroes ID used by team A and (5) heroes used by team B (nominal value of 1 to 114)
In total, the input has 11 elements.
The target tables contains values "1" if team A wins and "0" if team B wins.
I was wondering which Matlab tool is best for this problem. I had tried using the nnstart tool but I don't know how to set the tool to use backpropagation. Also I would like to know, should I normalize the data for this problem?
Thanks in advance.