00:06 demo prebuilt version of the application
00:42 use a neural network with 5 neurons
(2 in input layer, 2 in hidden layer, and 1 in output layer),
and where each neuron has 2 inputs and a threshold
01:20 proceed when 'adjusted error' is smaller or equal to 'current error'
01:39 proceed if prob bigger than 'random #' when 'adjusted error'
is bigger than 'current error'
03:00 as the temperature gets lower and lower we proceed less and less often
03:44 code the application
24:00 test run completed application
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quickly download, import into Eclipse, and run zip file for
'Neural Networks w/ JAVA
(Solve XOR w/ Simulated Annealing) - Tutorial 07'
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download source code @ https://sites.fastspring.com/prototypeprj/instant/2020
download source code @ https://sites.fastspring.com/prototypeprj/instant/all
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