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What is the best tool for SS in CR that we can implement algorithms to see graphical result ?
Either by programming or drag&drop tools. Some I heard are Omnet++, Opnet, ns-2 (unix), Matlab. But I'm looking for lower level implementing, and less coding.
Thanks anyway.
MATLAB seems good to implement CRNs.
You can also see NS2, NS3, Omnet++.
I personally prefer Matlab.
The better tool for graphical result is MATLAB, you can also use Network Simulator-2 but it may provide you the pictorial view of node like that.
Matlab will be a good choice for implementing algorithms.
I would recommend NetSim from Tetcos for 802.22 cognitive radio simulation. You could see the following for more information
https://tetcos.com/cognitive-radio.html
https://tetcos.freshdesk.com/support/solutions/articles/14000045189-how-is-spectrum-sensing-done-in-netsim-802-22-library-
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I am new to Machine Learning. I had learnt about ANN, SVR and ANN optmised with GA and PSO, but I realised that ANN involving long run time due to high computational effort. Is there any other machine learning toolbox in Matlab that perform faster than SVR?
Thanks :)
Sorry i don't know a lot on Matlab toolbox, but I can maybe help you on machine learning on a more general way. Do you need only a faster algorithm or better performing overall ?
Kind of a beginner too, but i'd say it really depends if :
it's a regression, classification or clustering task.
The complexity of the goal you want to achieve.
The Dataset you have.
I came across a microsoft post to help you chose your algorithm that is quite cool as a starting point, you should take a look, there is a graph that answers your question :
https://learn.microsoft.com/en-us/azure/machine-learning/studio/algorithm-choice
Some other will have better advices than me but heh that's a start.
Good luck,
Marc.
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I am fairly new to modelica. I would like to know if there are any simple libraries that are easily understandable available for download? Libraries that have examples whose total equations do not go beyond 100 or so?
Take a look at the IntroductoryExamples library available with SystemModeler. It shows some of the important parts of building your own library. There's a guide that will guide you through the process called Getting Started.
You could try DrModelica in OpenModelica Notebook. It comes with OpenModelica and is sort of interactive Modelica tutorial. Just start OpenModelica Notebook.
My book, "Modelica by Example", is available for free online. In the second part, "Object-Oriented Modeling", you'll find a complete discussions of how to build connectors, components, packages, subsystems and architectures.
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I am new in the field of neural networks and would like to learn how to implement NNs in MATLAB. Can I have links for some step-by-step explanation of NNs using MATLAB?
It would be really helpful if applications deal with examples in Civil Engineering.
You can take a course of Andrew Ng (I believe he made most of us young people discover machine learning and become interested in this field):
https://class.coursera.org/ml-004/class
The homework includes the neural network coding by matlab.
IF you're using 2013a or later you can try typing in command window:
nnstar
They have a lot of examples with various data and different types of problems, and also after training you can have all the code you need to write the same thing on your own.
Also, you can check here the same thing, code with explanation:
Matlab Neural Network Toolbox
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We've been using GitHub for 6-months now and have more/less figured out "best practices" with regards on how to put in tasks, milestones, etc. However, from a management point of view, there are a few features that are lacking. For instance, Gantt Chart capabilities found in solutions such as RedMine, or even overlaying on top of a calendar tasks/milestone markers, roadmaps, etc.
Is there some sort of "add on" or 3rd party website that can hook into GitHub and generate these for me? Since we've already integrated so much within GitHub, I'd like to stay on it, but if a migration to another system is possible with the functionality we require, I may be willing to transfer.
Any advice/help would be greatly appreciated!
I started a project which does exactly that :
https://github.com/neyric/gh-issues-gantt
It only handles issue durations in days, but we found it to be easier to maintain and quite accurate for our usage.
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I'm looking for some downloadable weather data I can use to train a neural network to do forecasting, where can I find some? Basically things like temperature, humidity, wind speed/direction, anything and everything that might help a neural network do simple forecasting.
You probably want to use the NOAA datasets:
http://www.ncdc.noaa.gov/
http://www.nws.noaa.gov/gis/
http://sos.noaa.gov/datasets/
Depends on how reliable you need the data to be.
NOAA direct is ok, however they often have missing data segments.
We've always used commercial quality services like Weathernation or FeedSyndicate or weatherbug.
A quick search on google came up with this:
Weather Base
California Weather Database
AWIS Climate Data
Is this the type of information you're looking for?
The EneryPlus website has a bunch of data you can download from here