Differences

This shows you the differences between two versions of the page.

--- courses:ae4m33bia:labs [2013/04/18 19:00]
kubalik
+++ courses:ae4m33bia:labs [2015/03/08 20:59]
kubalik
@@ Line 1: / Line 1: @@
 ====== Seminars ======
-There will be two main types of seminars within the course
-  * tutorials and exercises on the topics covered by lectures,
-  * consultations to assignments - individual analysis of the solved problem and discussions on the progress made and further steps towards completing the task.
-There are also a midterm test and oral presentations of the EA assignments results planned on certain weeks.
-A specialized software is used for seminars related to artificial neural networks (JavaNNS, Matlab Neural Network Toolklit, and Mathematica NeuralNetworks). We use it to demonstrate various properties of studied ANN algorithms.
-Students use a development platform of their choice to implement the programs for their EA assignment (typically C/C++, Java, Matlab or Mathematica).
-An expected average home preparation time is 5 hours per week.
-^ Seminar ^ Topic ^ Materials ^
-| 1.        | Introduction to optimization -- dynamic programming demonstration, local search algorithm demonstration  | {{:courses:ae4m33bia:dp_examples.pdf|}}, {{:courses:ae4m33bia:local_optimizers.zip|}} |
-| 2.        | Survey of successful applications of neural networks. | {{:courses:a4m33bia:ann_examples-2013.pdf|}}  |
-| 3.        | JavaNNS -- introduction to the system. ANN individual project assignment. | [[http://www.mathworks.com/products/neural-network/index.html|Matlab Neural Network Toolbox]], {{:courses:ae4m33bia:javanns-win.zip|JavaNNS (Win)}}, {{:courses:a4m33bia:javanns-mac.zip|JavaNNS (Mac)}}, {{:courses:a4m33bia:snnsv4.2.manual.pdf|}}, [[http://www.cs.bham.ac.uk/~jxb/NN/javaNNS/javaNNSguide.html|Quick Guide to javaNNS]] |
-| 4.        | Consultations on ANN project | [[http://research.cs.tamu.edu/prism/lectures/iss/iss_l13.pdf|Three-way data splits]], [[http://en.wikipedia.org/wiki/Confusion_matrix|Confusion matrix]], [[http://en.wikipedia.org/wiki/Cross-validation_%28statistics%29#K-fold_cross-validation|K-fold cross-validation]], {{:courses:a4m33bia:somtoolbox2_mar_17_2005.zip|SOM toolbox}}, {{:courses:a4m33bia:som_toolbox_manual.pdf|SOM toolbox manual}}  |
-| 5.        | Self-organizing maps  | {{:courses:ae4m33bia:somtoolbox2_mar_17_2005.zip|}}, {{:courses:ae4m33bia:som_toolbox_manual.pdf|}}  |
-| 6.        | Consultations on ANN project. |  |
-| 7.        | {{:courses:ae4m33bia:applications_of_eas.pdf|Successful applications of evolutionary algorithms}}, EA individual project assignment.  |  |
-| 8.        | **Submission of reports on neural networks**, Consultations on EA project  |  |
-| 9.        | Simple genetic algorithm demonstration. | {{:courses:ae4m33bia:ea-matlab.zip|}}, {{:courses:ae4m33bia:individual_projects_ea_2012.pdf|}}, {{:courses:ae4m33bia:sga.zip|}} |
-| 10.        | Consultations on EA project  |    |
-| 11.        | Consultations on EA project  |  |
-| 12.        | **Midterm test**.  | {{:courses:ae4m33bia:sampletest.pdf|Sample test}} |
-| 13.        | Consultations on EA project  |  |
-| 14.        | **Submission of reports on evolutionary algorithms, EA program presentations**, Assignments |  |
 \\
 [[courses:ae4m33bia:start|Back to the startpage]]