Progress for week 43 (2015)

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(Tomas Renaa)
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Linje 44: Linje 44:
* Azure ML vs SciKitLearn vs RapidMiner
* Azure ML vs SciKitLearn vs RapidMiner
=== Accounting ===
=== Accounting ===
 +
* Finised data validation
 +
* Made cool graphs!!!
 +
* Learned about bonesa
== Tomas Renaa ==
== Tomas Renaa ==
Linje 55: Linje 58:
== [[user:fredrsae|Fredrik]] ==
== [[user:fredrsae|Fredrik]] ==
-
=== Budget ==
+
=== Budget ===
* Further explore simulator and limit choices
* Further explore simulator and limit choices
* Get hands on robot and explore capabilities to extend for sensors, and the capabilities of the servos
* Get hands on robot and explore capabilities to extend for sensors, and the capabilities of the servos
=== Accounting ===
=== Accounting ===
 +
* Ended up with even more alternatives
 +
* Have some parts of the robot, started looking into the servos.
== [[user:vegardli|Vegard]] ==
== [[user:vegardli|Vegard]] ==
=== Budget ===
=== Budget ===
* Integrate the HDL simulation with GA application, prepare for testing in November
* Integrate the HDL simulation with GA application, prepare for testing in November

Nåværende revisjon fra 27. okt 2015 kl. 12:27

Innhold

Student template (copy this for your entry)

Budget

  • Todo 1
  • Todo 2

Accounting

  • Done 1
  • Done 2

Eirik Sundet

Budget

  • Continue on the work started on last week:
    • 1: Implement update function for the Gaussian model
    • 2: Implement Mixture-of-Gaussian classifier
    • 3: Update implementation for video compatibility.
    • 4: Test parameters for processing speed and accuracy

Accounting

  • Done 1
  • 2 - In progress
  • Done 3
  • 4 - In progress

Per Wessel

Budget

  • Plan data gathering
  • Test preprocessing techniques rapidminer
  • Test statistical methods in rapidminer
  • Try to manual label data to test ANN/SVM

Accounting

  • Done 1
  • On going
  • On going
  • not done
  • I got some new data considering exposures i different environment like humidity and temperature, worked on finding correlations, and merging data.


Magnus Olden

Budget

  • Finish data validation
  • First learning algorithm
  • Try Bonesa
  • Azure ML vs SciKitLearn vs RapidMiner

Accounting

  • Finised data validation
  • Made cool graphs!!!
  • Learned about bonesa

Tomas Renaa

Budget

  • Look at different EA implementations packages
  • Read about QEA
  • Set up SDK etc on robot

Accounting

  • Done but not decided on implementations
  • Partial on SDK etc

Fredrik

Budget

  • Further explore simulator and limit choices
  • Get hands on robot and explore capabilities to extend for sensors, and the capabilities of the servos

Accounting

  • Ended up with even more alternatives
  • Have some parts of the robot, started looking into the servos.

Vegard

Budget

  • Integrate the HDL simulation with GA application, prepare for testing in November
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