Ok, thank you very much. One of the doubts I have is if modifiying some model parameters, like the size of the encoder vector, the column count, the cells per column or the synapses number I could improve the performance.
Another doubt I have, but not so important, is if i can save the learning made by the system, avoiding having to introduce all my data every time. 2016-02-22 23:01 GMT+01:00 Matthew Taylor <[email protected]>: > Thanks Carlos. I'll try to look into this tomorrow morning. > > By the way, I am working on getting access to a lot of geospatial data > for free from a local source. If I can get it (fingers crossed), it > will mean that I have a dataset I can experiment with to help solve > these types of problems, because this data set contains many multiple > tracks that could be analyzed in the same fashion as your data. > > --------- > Matt Taylor > OS Community Flag-Bearer > Numenta > > > On Mon, Feb 22, 2016 at 1:53 PM, carlos arenas <[email protected]> > wrote: > > The positions are supposed to have a two minutes interval. Here you have > an > > extract of how the data gets to me and I have attached the principal > modules > > of my code. The rest of it is the same as Geospatial Tracking. > > > > MMSI, LAT, LON, SPEED, COURSE, STATUS, TIMESTAMP > > 210047000,43.468670,-9.770435,82,29,0,2016-02-22T17:18:24 > > 212376000,43.243820,-10.084700,92,191,0,2016-02-22T17:20:11 > > 219023000,43.146660,-9.937616,105,349,0,2016-02-22T17:18:56 > > 224013910,43.066790,-9.612607,9,0,15,2016-02-22T17:19:18 > > 224123730,43.101720,-9.610230,21,226,7,2016-02-22T17:16:03 > > 235084298,43.426110,-9.640910,192,17,0,2016-02-22T17:20:47 > > 235096368,43.040520,-9.771927,120,358,7,2016-02-22T17:21:17 > > 244650165,42.986370,-9.797475,89,357,0,2016-02-22T17:20:28 > > 245947000,43.236970,-9.724459,94,27,0,2016-02-22T17:20:35 > > 247325500,43.293460,-9.927738,123,28,0,2016-02-22T17:20:13 > > 256612000,43.125930,-10.072610,116,185,0,2016-02-22T17:18:56 > > 257833000,43.380730,-9.852883,108,12,0,2016-02-22T17:21:24 > > 258649000,43.369920,-9.643563,168,30,0,2016-02-22T17:20:36 > > 304031000,43.204720,-10.103680,115,179,0,2016-02-22T17:19:33 > > 304050982,43.399410,-10.119990,139,207,0,2016-02-22T17:22:01 > > 351675000,43.376810,-10.049390,164,205,0,2016-02-22T17:16:14 > > 355289000,43.149670,-9.784833,180,7,0,2016-02-22T17:21:37 > > 428044000,42.999350,-9.777610,116,357,3,2016-02-22T17:19:22 > > 566577000,42.976810,-9.956157,122,1,0,2016-02-22T17:20:20 > > 636015262,43.199380,-9.751516,94,27,0,2016-02-22T17:19:09 > > 636015529,43.194890,-9.781404,137,1,0,2016-02-22T17:16:14 > >
