Examples of TANH

org.apache.commons.math3.analysis.function.Tanh
Hyperbolic tangent function. @since 3.0
org.apache.pig.piggybank.evaluation.math.TANH
math.TANH implements a binding to the Java function {@link java.lang.Math#tanh(double) Math.tanh(double)}. Given a single data atom it Returns the hyperbolic tangent of the argument.

Parameters:

value - DataAtom [double].

Return Value:

DataAtom [double]

Return Schema:

TANH_inputSchema

Example:

register math.jar; A = load 'mydata' using PigStorage() as ( float1 ); B = foreach A generate float1, math.TANH(float1);

@see Math#tanh(double) @see @author ajay garg
org.boris.expr.function.excel.TANH

org.neuroph.core.transfer.Tanh

 Tanh neuron transfer function. output = ( e^(2*input)-1) / ( e^(2*input)+1 )

@author Zoran Sevarac

Examples of org.apache.commons.math3.analysis.function.Tanh


    @Override
    protected UnivariateFunction[] createFunctions() {
        return new UnivariateFunction[] {
            new Power(2.0), new Exp(), new Expm1(),
            new Log1p(), new Cosh(), new Sinh(), new Tanh(), new Cos(),
            new Sin(), new Tan(), new Acos(), new Asin(), new Atan(),
            new Abs(), new Sqrt(), new Cbrt(), new Ceil(),
            new Floor(), new Rint(), new Signum()
        };
    }

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Examples of org.apache.commons.math3.analysis.function.Tanh


    @Override
    protected UnivariateFunction[] createFunctions() {
        return new UnivariateFunction[] {
            new Power(2.0), new Exp(), new Expm1(),
            new Log1p(), new Cosh(), new Sinh(), new Tanh(), new Cos(),
            new Sin(), new Tan(), new Acos(), new Asin(), new Atan(),
            new Abs(), new Sqrt(), new Cbrt(), new Ceil(),
            new Floor(), new Rint(), new Signum()
        };
    }

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Examples of org.apache.commons.math3.analysis.function.Tanh

    }


    protected UnivariateFunction[] createFunctions() {
        return new UnivariateFunction[] {
            new Power(2.0), new Exp(), new Expm1(), new Log(), new Log10(),
            new Log1p(), new Cosh(), new Sinh(), new Tanh(), new Cos(),
            new Sin(), new Tan(), new Acos(), new Asin(), new Atan(),
            new Inverse(), new Abs(), new Sqrt(), new Cbrt(), new Ceil(),
            new Floor(), new Rint(), new Signum(), new Ulp()
        };
    }

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Examples of org.apache.commons.math3.analysis.function.Tanh

    }


    private UnivariateFunction[] createFunctions() {
        return new UnivariateFunction[] {
            new Power(2.0), new Exp(), new Expm1(), new Log(), new Log10(),
            new Log1p(), new Cosh(), new Sinh(), new Tanh(), new Cos(),
            new Sin(), new Tan(), new Acos(), new Asin(), new Atan(),
            new Inverse(), new Abs(), new Sqrt(), new Cbrt(), new Ceil(),
            new Floor(), new Rint(), new Signum(), new Ulp()
        };
    }

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Examples of org.apache.commons.math3.analysis.function.Tanh

        v_mapSinhToSelf.mapToSelf(new Sinh());
        double[] result_mapSinhToSelf = {1.175201193643801e+00d,3.626860407847019e+00d, 1.001787492740990e+01d};
        assertClose("compare vectors" ,result_mapSinhToSelf,v_mapSinhToSelf.toArray(),normTolerance);


        //octave =  tanh(v1)
        RealVector v_mapTanh = v1.map(new Tanh());
        double[] result_mapTanh = {7.615941559557649e-01d,9.640275800758169e-01d,9.950547536867305e-01d};
        assertClose("compare vectors" ,result_mapTanh,v_mapTanh.toArray(),normTolerance);


        //octave =  tanh(v1)
        RealVector v_mapTanhToSelf = v1.copy();
        v_mapTanhToSelf.mapToSelf(new Tanh());
        double[] result_mapTanhToSelf = {7.615941559557649e-01d,9.640275800758169e-01d,9.950547536867305e-01d};
        assertClose("compare vectors" ,result_mapTanhToSelf,v_mapTanhToSelf.toArray(),normTolerance);


        //octave =  cos(v1)
        RealVector v_mapCos = v1.map(new Cos());

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Examples of org.apache.commons.math3.analysis.function.Tanh

        v_mapSinhToSelf.mapToSelf(new Sinh());
        double[] result_mapSinhToSelf = {1.175201193643801e+00d,3.626860407847019e+00d, 1.001787492740990e+01d};
        assertClose("compare vectors" ,result_mapSinhToSelf,v_mapSinhToSelf.toArray(),normTolerance);


        //octave =  tanh(v1)
        RealVector v_mapTanh = v1.map(new Tanh());
        double[] result_mapTanh = {7.615941559557649e-01d,9.640275800758169e-01d,9.950547536867305e-01d};
        assertClose("compare vectors" ,result_mapTanh,v_mapTanh.toArray(),normTolerance);


        //octave =  tanh(v1)
        RealVector v_mapTanhToSelf = v1.copy();
        v_mapTanhToSelf.mapToSelf(new Tanh());
        double[] result_mapTanhToSelf = {7.615941559557649e-01d,9.640275800758169e-01d,9.950547536867305e-01d};
        assertClose("compare vectors" ,result_mapTanhToSelf,v_mapTanhToSelf.toArray(),normTolerance);


        //octave =  cos(v1)
        RealVector v_mapCos = v1.map(new Cos());

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Examples of org.apache.pig.piggybank.evaluation.math.TANH

          double actual = (new Double(output.strval())).doubleValue();
          assertEquals(actual, expected, delta);
   }
   
   public void testTANH() throws Exception{
       EvalFunc<DataAtom> TANH = new TANH();
          Tuple tup = new Tuple(1);
          tup.setField(0, 0.5);
          DataAtom output = new DataAtom();
          TANH.exec(tup, output);
          double expected = Math.tanh(0.5);
          double actual = (new Double(output.strval())).doubleValue();
          assertEquals(actual, expected, delta);
   }

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Examples of org.boris.expr.function.excel.TANH

            assertEquals("TAN not working", eval(t, d), Math.tan(d));
        }
    }


    public void testTANH() throws Exception {
        TANH t = new TANH();
        for (int i = 0; i < 100; i++) {
            double d = Math.random() * 1000;
            assertEquals("TANH not working", eval(t, d), Math.tanh(d));
        }
    }

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Examples of org.neuroph.core.transfer.Tanh


        MatrixLayer prevLayer = matrixLayers[0];
        
         for(int i =1; i < sourceNetwork.getLayersCount(); i++  ) {
            Layer layer = sourceNetwork.getLayerAt(i);
            MatrixMlpLayer newBpLayer = new MatrixMlpLayer(layer, prevLayer, new Tanh());
            matrixLayers[i] = newBpLayer;
            prevLayer = newBpLayer;
        }
    }

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