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BalammaBoya
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Merge pull request #3 from virtual-labs/testing
Testing
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.github/workflows/deployment-script.yml

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node-version: '12'
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check-latest: true
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- run: |
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git clone -b pipeline-new https://github.com/virtual-labs/ph3-lab-mgmt
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git clone --depth 1 https://github.com/virtual-labs/ph3-lab-mgmt
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cd ph3-lab-mgmt
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npm install
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node exp.js
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npm run build-exp
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cd ../
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git config --local user.email "admin@vlabs.ac.in"
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git config --local user.name "vleadadmin"

experiment-descriptor.json

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{
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"unit-type": "lu",
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"label": "",
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"basedir": ".",
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"units": [
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{
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"unit-type": "aim"
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},
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{
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"target": "theory.html",
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"source": "theory.md",
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"label": "Theory",
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"unit-type": "task",
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"content-type": "text"
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},
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{
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"target": "procedure.html",
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"source": "procedure.md",
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"label": "Procedure",
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"unit-type": "task",
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"content-type": "text"
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},
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{
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"target": "simulation.html",
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"source": "simulation/index.html",
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"label": "Simulation",
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"unit-type": "task",
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"content-type": "simulation"
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},
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{
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"target": "observations.html",
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"source": "observations.md",
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"label": "Observations",
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"unit-type": "task",
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"content-type": "text"
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},
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{
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"target": "assignment.html",
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"source": "assignment.md",
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"label": "Assignment",
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"unit-type": "task",
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"content-type": "text"
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},
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{
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"target": "references.html",
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"source": "references.md",
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"label": "References",
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"unit-type": "task",
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"content-type": "text"
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}
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]
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}
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experiment/aim.md

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### Aim of the experiment
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The objective of this experiment is to understand the capture of the features in the space of input patterns with the help of Competitive learning neural networks (CLNN).

experiment/assignment.md

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- What are the components of a competitive learning network?
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- Explain the difference between pattern clustering and feature mapping.
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- What is a self-organizing network?
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- What are the salient features of the Kohonen's self-organizing learning algorithm?
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experiment/experiment-name.md

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## Experiment name
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## Competitive Learning Neural Networks

experiment/images/CL1.png

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experiment/images/CL3.png

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experiment/images/CL4.png

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experiment/images/CL5.png

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experiment/images/CLNN.png

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