ClassName= LearningParam    
    // Increase the importance of SOV and decrease importance of
    // encoding cost (compared to default)
    
    
    // Low weight for everything except main objective
    NetInitCenterWeight = 1.0e-9	// keep sums centered on 0
    NetInitRangeWeight = 1.0e-9		// scale weights for desired variance on sums
    NetCenterDecay = 0.95
    NetRangeDecay =0.99
    
    NetResetAfter = 15
    NetResetWhenWorseBy = 1.3	//useless parameter
    
    QRBestCostMult=1.0
    QRBestQMult = 0
    QRBestSOVMult = 0

    NetActWrongWeight = 1.5	 // extra weight for correcting wrong answers
    
    NetActChangeCorrectWeight = 1.8	 // extra weight for transitions
					 // where the correct answer changes
    
    ActPartialKluge = 0.5
    
    LayBaseTimesSeq = 0.08	//  learning
    LayMaxBaseRate = 0.1	// 0.1
    LayWeightOverBase = 1.00
    LayWeightOverBaseForMult = 1.5
    LayPseudoOverBase = 0.01
    LayPseudoOverBaseForMult =0.1
    LayBiasOverBase = 0.03
    LayBiasOverBaseForMult = 0.05
    LayGainOverBase = 0.01
    LayGainOverBaseForMult = 0.01
    LayDesiredSqOverNumWeights = 0.07
    
    LayGainExtConst = 1.5e-4
    LayBiasExtConst = 2.0e-4 		// 4.0e-8
    LayPseudoExtConst = 100		// 8.0e-8
    LayGainExtConstForMult = 2.0e-5
    LayBiasExtConstForMult = 10		// 4.0e-5
    LayPseudoExtConstForMult = 100	// 4.0e-5
    
    LayWindowShapeExp = 0.5

    LayMaxWeight=20.00
    LayMaxWeightChange=1		// 0.01
    LayMaxPseudo = 0			// 10.0
    LayMaxPseudoChange = 2.0
    
    LayMaxBias=20.0	 // old code limited bias to window size,
			 // which may be better
    LayMaxBiasChange=0.06
    
    LayMaxGain=1	 // keep gain in [1/MaxGain, MaxGain]
    LayMaxGainChange = 1	 // scale by [1/GainChange, GainChange]
    
    LayMainObjWeight= 1.0
    LayMainObjWeightForMult=1.0
    LayMainObjPseudo= 1.0
    LayMainObjPseudoForMult = 1.0
    
    LayMainObjBias=1.0
    LayMainObjBiasForMult=0.5
    
    LayMainObjGain = 1.0
    LayMainObjGainForMult =1.0
    
    LayMaxWeightRateFactor = 2.0
    LayMaxPseudoRateFactor = 2.0
    LayMaxBiasRateFactor = 1.1
    LayMaxGainRateFactor = 1.1
    
    LayWeightRateDecay=0.999		// 0.995
    LayPseudoRateDecay = 0.99
    LayBiasRateDecayForLowerCost = 1.01
    LayBiasRateDecayForHigherCost=0.88	
    LayGainRateDecayForLowerCost = 1.01 	
    LayGainRateDecayForHigherCost=0.7	
    
    LayRangeMult = 0.6
    LayRangeDenom = 0.4
    LayRangeMinForMult = 0.1
    
    LayTotalInitialPseudo = 0 			// 0.1

EndClassName= LearningParam