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test_network.eg
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test_network.eg
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encog,BasicNetwork,java,3.4.0,1,1499361036511
[BASIC]
[BASIC:PARAMS]
[BASIC:NETWORK]
beginTraining=0
connectionLimit=0
contextTargetOffset=0,0,0,0,0,0
contextTargetSize=0,0,0,0,0,0
endTraining=5
hasContext=f
inputCount=5
layerCounts=1,4,4,4,4,5
layerFeedCounts=1,3,3,3,3,5
layerContextCount=0,0,0,0,0,0
layerIndex=0,1,5,9,13,17
output=0,0,0,0,1,0,0,0,1,0,0,0,1,0,0,0,1,0,0,0,0,0
outputCount=1
weightIndex=0,4,16,28,40,55
weights=-0.8629465096,0.8518465566,-0.1439711631,-0.4327762669,0.517477684,-0.6772123235,0.1794395809,-0.8787299907,0.2840495913,0.9069851687,0.7975297127,-0.2102662619,-0.394883501,-0.6604949414,-0.2964763715,-0.3560020503,0.0564532515,-0.6367852176,-0.9819721323,-0.145059941,0.5150468309,-0.2098846799,-0.9496753647,-0.885032082,0.8707021289,-0.5895436167,-0.1008287558,-0.0572502506,0.9278455985,0.5159568629,0.8393623636,0.6681497986,0.7945530694,0.3224878234,-0.8525823227,-0.2151915499,0.419902472,0.98271401,0.2741149534,0.7503906294,0.9474885333,0.5534101933,-0.3373484763,0.4987060473,-0.2512797708,-0.052433951,-0.3545800141,-0.6314542465,0.8708874146,-0.2448809895,-0.6228970168,-0.9304136225,-0.1584700448,0.8510231684,-0.665338442
biasActivation=0,1,1,1,1,0
[BASIC:ACTIVATION]
"org.encog.engine.network.activation.ActivationLinear"
"org.encog.engine.network.activation.ActivationElliottSymmetric",1
"org.encog.engine.network.activation.ActivationElliottSymmetric",1
"org.encog.engine.network.activation.ActivationElliottSymmetric",1
"org.encog.engine.network.activation.ActivationElliottSymmetric",1
"org.encog.engine.network.activation.ActivationLinear"