Package eas.users.lukas.neuroCEGPM.simpleNeural.activationFunction

Examples of eas.users.lukas.neuroCEGPM.simpleNeural.activationFunction.ActivationFunctionSQRT


        this.pars = params;
        this.neuronVector = new MatrixBigDecimal(1, neuronsCount);
        this.weightMatrix = new MatrixBigDecimal(neuronsCount, neuronsCount);
        this.activationFunctions = new HashMap<>();
        this.inverseWeightMatrix = null;
        this.standardActFct = new ActivationFunctionSQRT();
       
        this.setAllNeuronValues(BigDecimal.ZERO);
        this.setAllWeightValues(BigDecimal.ZERO);
    }
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     */
    public NeuroController translateGenomeToController(List<BigDecimal> sequence, boolean normalize) {
        ActivationFunction func = this.getStandardActFct();
        int scale = MatrixBigDecimal.GLOBAL_SCALE;
        MatrixBigDecimal.GLOBAL_SCALE = 10;
        this.setStandardActFct(new ActivationFunctionSQRT());
       
//        System.out.println();
        Random fixedRandom = new Random(this.randomSeedForFixedRandom);
        NeuroController controllerNeu = new NeuroController(this.getPars(), maxNumOfNeuronsController + 1);

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