Android calculate angle between 2 GPS coordinates [duplicate] - java

This question already has answers here:
How to calculate angle between two Geographical/GPS coordinates?
(2 answers)
Closed 9 years ago.
I'm developing an application where I show the user's movements on a map using GPS coordinates. Calculating the size of the movement between two location with loc1.distanceTo (loc2), where loc1 and 2 are of type Location. How can I calculate the angle (in degrees) of the movement?

Did you do a search before you asked? This has been answered several times before. You can get the bearing (which I guess is what you mean by angle) through Location.bearingTo(). In your case it would be:
loc1.bearingTo(loc2)

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Neural networks for a 3d space value linked list matching in java [closed]

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Closed 11 years ago.
I am trying to match a prerecorded 3d(float x, float y, float z) linked list to another 3d linked list(float x, float y, float z). There is about 50 prerecorded sequences with 1000 examples of the same move every time, against which I am trying to match through.
The size of linked lists highly vary.
Is there a specific neural network pattern/library/framework/algorhytm in Java I could use for this task ?
Any suggestions would be highly appreciated!
Waiting for your replies)
If you insist on a neural network...
Simplify your prerecorded input
For each 3d point list create 3 black and white 2d images of your points (drawing a line between each adjacent point)
Top-down (x,z)
Forward-back (x,y)
Left-right (z,y)
Simplify your user input
Create the same 3 black and white images (explained above)
Find the bounding box of the points and scale the image to a uniform size
Having your user input, scaled to same size as your prerecorded input will facilitate recognition
Create neural networks for image recognition
Create a trained network for your prerecorded (3 images for each)
This seems like it would work http://neuroph.sourceforge.net/image_recognition.html
Build your neural nets from the black and white images (that represent the 2d mapping of your 3d points onto the 3 perpendicular planes)
Experiment with your matching bounds/constraints
IF Top2Bottom >= 0.75 AND Forward2Back >= 0.75 AND Left2Right >= 0.75
THEN IsAMatch = True
ELSE IsAMatch = False
I would probably just generate a large 3d corridor (think wide 3d tube, or a collection of connected cylinders) that represented the extremes of my prerecorded points then scale the user input points then check if the user input points fall within the matching corridor.
EDIT Very odd that the question itself was down-voted and closed, then days later my answer was down-voted. Realistically, the question was likely closed due to a failure of group think on the part of the moderators. Maybe it then looked a little awkward to have a closed question with a +1 "Accepted" answer, so this answer was subsequently down-voted (twice).
From my experience, the only way to ask a question like this is to either slap a large bounty on it, or re-word it in a way that won't offend the fragile sensibilities of the moderators (most of the time they do a good job and don't overstep...).

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