Merge branch 'dev' of https://github.com/virtual-labs/exp-parallel-distributed-processing-ii-iiith into testing

Author: balamma

experiment/simulation/CSNNTrialBYN.jar

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+Artificial Neural Networks Parallel and Distributed Processing -2: Constraint Satisfaction Neural Network model Code Documentation
+
+Introduction
+
+This document captures the experiment implementation details.
+
+Code Details
+
+File Name : pdp2.js
+
+File Description : This file contains all the code for implementation of the canvas and the buttons.
+
+Function : setup() 
+
+Function Description : make canvas and call functions for setting clamping of descrriptors to false and getting names and weights
+
+Function : setRooms() 
+
+Function Description : set descriptors for further training to false.
+
+Function : getWeights()
+
+Function Description : getting weights from byte string between 68x68 units.
+
+Function : setDescriptors()
+
+Function Description : setting clamping of descriptors to false.
+
+Function : draw()
+
+Function Description : this is the main looping function which calls for the drawing of the stage according to the stage variable.
+
+Function : drawStageOne()
+
+Function Description : this is the home page showing descriptors and buttons for other two stages.
+
+Function : drawStageTwoMain()
+
+Function Description : this is the page for the showing options for hinton diagrams of the descriptors.
+
+Function : drawStageTwoOne()
+
+Function Description : this is the page for the showing of original hinton diagram of the descriptors.
+
+Function : drawStageTwoTwo() 
+
+Function Description : loads page for further training of model.
+
+Function : validateTrainNetwork();
+
+Function Description : check if a descriptor has been selected for each room type.
+
+Function : drawStageTwoTwoOne() 
+
+Function Description : initiates making of the hinton diagrams of further trained network.
+
+Function : checkForHover()
+
+Function Description : checks if mouse is hovering over any hinton diagram in order to show zoomed in version of it.
+
+Function : setRoomDescriptor()
+
+Function Description : sets descriptors for further training according to the room types.
+
+Function : makeNewHinton()
+
+Function Description : calculates the new weights in order to make new hinton diagram.
+
+Function : makeHinton()
+
+Function Description : makes the hinton diagrams for both old and new descriptor choices.
+
+Function : getRoomChoice() 
+
+Function Description : get room choice for further training according to mouse click
+
+Function : drawStageThree()
+
+Function Description : this is the page for the clamping of descriptors and showing their values cycle after cycle.
+
+Function : testNetwork()
+
+Function Description : if test network button is clicked, calculation and display functions trigger.
+
+Function : clampDescriptor()
+
+Function Description : clamps and unclamps descriptors based on clicking of a descriptor.
+
+Function : displayTestedNetwork()
+
+Function Description : once calculation of activation is done, display function runs to show the variation cycle after cycle.
+
+Function : validateClampNetwork()
+
+Function Description : checks if any descriptor is selected to be clamped.
+
+Function : mouseReleased()
+
+Function Description : checks for clicks and accordingly triggers different stages and clamping.
+
+
+Other details:
+
+Formulas used in the Experiment:
+
+if descriptor is clamped, it is given activation 1, otherwise 0.
+nextState[i] of a descriptor is the sum of the products of activation[j] with weights[i][j]
+if nextState[i] is greater than the threshold, it is given value 1, otherwise 0.
+if nextState[i] is 1, activation is set to 1 irrespective of it's initial value.
+activation of each descriptor is calculated for 16 cycles one after another and displayed.
+
+
+
+