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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
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Does anyone know of an online resource where I can find stochastic matrices for an nth order Markov chain describing the probability of a note being played based on the previous n notes (for different musical genres, if possible)? I am looking for something similar to the second-order matrix found on this page: http://algorithmiccomposer.com/2010/04/openmusic-markov-chains-and-omlea.html
If not, or otherwise, what would be the best way to construct such a matrix for each genre? The article states that this can be done by hand or by analysing existing pieces of music. How could large amounts of music for each genre be processed to generate these matrices?
I have been doing research on this topic. The matrix you are looking for is highly dependant upon what kind of music you want to generate.
One of the people I work with wrote this paper that is the method used for this. It is based on using viewpoint to look at the music and then basically creating a transition matrix for all these viewpoints: http://www.ehu.es/cs-ikerbasque/conklin/papers/jnmr95.pdf
You can contact me if you need more specific info or collaboration.
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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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I want to develop an iPhone app, that will enable user to track his speed and speed limit of street/road. Is there any google map API that gives us this information? if not, can anybody tell me any alternate 3rd party solution.
Thanx in advance.
I don't think such an API exists at the moment.
Now google has started providing optional speed limit data.
See Roads Web Service section at following link.
https://developers.google.com/maps/licensing
Google does now provide a Roads API, in which you can query Speed Limit data, but, according to the page found here https://developers.google.com/maps/licensing, you must acquire a Google Maps For Work License. You may not query the speed limit data for free. It looks like the Business License runs $10k per year.
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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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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-