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courses:ae4m33bia:labs [2013/10/04 13:02]
127.0.0.1
external edit
courses:ae4m33bia:labs [2015/03/08 21:02]
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====== Seminars ======
====== Seminars ======
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There will be two main types of seminars within the course
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* tutorials and exercises on the topics covered by lectures,
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* consultations to assignments - individual analysis of the solved problem and discussions on the progress made and further steps towards completing the task.
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There are also a midterm test and oral presentations of the EA assignments results planned on certain weeks.
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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.
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Students use a development platform of their choice to implement the programs for their EA assignment (typically C/C++, Java, Matlab or Mathematica).
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An expected average home preparation time is 5 hours per week.
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^ Seminar ^ Topic ^ Materials ^
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| 1. | Introduction to optimization -- dynamic programming demonstration, local search algorithm demonstration | {{:courses:ae4m33bia:dp_examples.pdf|}}, {{:courses:ae4m33bia:local_optimizers.zip|}} |
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| 2. | Survey of successful applications of neural networks. | {{:courses:a4m33bia:ann_examples-2013.pdf|}} |
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| 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]] |
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| 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}} |
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| 5. | Self-organizing maps | {{:courses:ae4m33bia:somtoolbox2_mar_17_2005.zip|}}, {{:courses:ae4m33bia:som_toolbox_manual.pdf|}} |
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| 6. | Consultations on ANN project. | |
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| 7. | {{:courses:ae4m33bia:applications_of_eas.pdf|Successful applications of evolutionary algorithms}}, EA individual project assignment. | |
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| 8. | **Submission of reports on neural networks**, Consultations on EA project | |
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| 9. | Simple genetic algorithm demonstration. | {{:courses:ae4m33bia:ea-matlab.zip|}}, {{:courses:ae4m33bia:individual_projects_ea_2012.pdf|}}, {{:courses:ae4m33bia:sga.zip|}} |
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| 10. | Consultations on EA project | |
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| 11. | Consultations on EA project | |
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| 12. | **Midterm test**. | {{:courses:ae4m33bia:sampletest.pdf|Sample test}} |
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| 13. | Consultations on EA project | |
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| 14. | **Submission of reports on evolutionary algorithms, EA program presentations**, Assignments | |
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courses/ae4m33bia/labs.txt
· Last modified: 2015/03/08 21:02 by
kubalik