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#Org.encog.mathutil Classes and Interfaces - 67 results found.
| Name | Description | Type | Package | Framework |
| AbstractBoxMuller | Provides the ability for subclasses to generate normally distributed random numbers. | Class | org.encog.mathutil.randomize.generate | HeatonReasearch |
| AbstractGenerateRandom | Provides a foundation for most random number generation. | Class | org.encog.mathutil.randomize.generate | HeatonReasearch |
| BasicGenerateRandom | A wrapper over Java's built in random number generator. | Class | org.encog.mathutil.randomize.generate | HeatonReasearch |
| BasicHessian | Some basic code used to calculate Hessian matrixes. | Class | org.encog.mathutil.matrices.hessian | HeatonReasearch |
| BasicRandomFactory | Basic random number generator factory. | Class | org.encog.mathutil.randomize.factory | HeatonReasearch |
| BasicRandomizer | Provides basic functionality that most randomizers will need. | Class | org.encog.mathutil.randomize | HeatonReasearch |
| BasicRBF | Basic radial basis function. | Class | org.encog.mathutil.rbf | HeatonReasearch |
| BiPolarUtil | This class contains a number of utility methods used to work with bipolar numbers. | Class | org.encog.mathutil.matrices | HeatonReasearch |
| BoundMath | Java will sometimes return Math. | Class | org.encog.mathutil | HeatonReasearch |
| BoundNumbers | Class | org.encog.mathutil | HeatonReasearch | |
| CalcProbability | Class | org.encog.mathutil.probability | HeatonReasearch | |
| ChainRuleWorker | A threaded worker that is used to calculate the first derivatives of the output of the neural network. | Class | org.encog.mathutil.matrices.hessian | HeatonReasearch |
| CholeskyDecomposition | Cholesky Decomposition. | Class | org.encog.mathutil.matrices.decomposition | HeatonReasearch |
| ComplexNumber | A complex number class. | Class | org.encog.mathutil | HeatonReasearch |
| ComputeHessian | Compute (estimate) the Hessian matrix. | Interface | org.encog.mathutil.matrices.hessian | HeatonReasearch |
| ConsistentRandomizer | A randomizer that takes a seed and will always produce consistent results. | Class | org.encog.mathutil.randomize | HeatonReasearch |
| ConstRandomizer | A randomizer that will create always set the random number to a const value, used mainly for testing. | Class | org.encog.mathutil.randomize | HeatonReasearch |
| Convert | This class is used to convert strings into numeric values. | Class | org.encog.mathutil | HeatonReasearch |
| DimensionConstraint | Specifies a constraint for dimensions, using a lower and upper bound. | Class | org.encog.mathutil.dimension | HeatonReasearch |
| Distort | A randomizer that distorts what is already present in the neural network. | Class | org.encog.mathutil.randomize | HeatonReasearch |
| EigenvalueDecomposition | Eigenvalues and eigenvectors of a real matrix. | Class | org.encog.mathutil.matrices.decomposition | HeatonReasearch |
| EncogFunction | Interface | org.encog.mathutil | HeatonReasearch | |
| EncogMath | Several useful math functions for Encog. | Class | org.encog.mathutil | HeatonReasearch |
| EncogMathError | Thrown when a math error happens. | Class | org.encog.mathutil | HeatonReasearch |
| Equilateral | Used to produce an array of activations to classify data into groups. | Class | org.encog.mathutil | HeatonReasearch |
| ErrorCalculation | Calculate the error of a neural network. | Class | org.encog.mathutil.error | HeatonReasearch |
| ErrorCalculationMode | enum ErrorCalculationModeSelects the error calculation mode for Encog. | Class | org.encog.mathutil.error | HeatonReasearch |
| FanInRandomizer | A randomizer that attempts to create starting weight values that are conducive to propagation training. | Class | org.encog.mathutil.randomize | HeatonReasearch |
| GaussianFunction | Multi-dimensional gaussian function. | Class | org.encog.mathutil.rbf | HeatonReasearch |
| GaussianRandomizer | Generally, you will not want to use this randomizer as a pure neural network randomizer. | Class | org.encog.mathutil.randomize | HeatonReasearch |
| GenerateRandom | Interface that defines how random numbers are generated. | Interface | org.encog.mathutil.randomize.generate | HeatonReasearch |
| HessianCR | Calculate the Hessian matrix using the chain rule method. | Class | org.encog.mathutil.matrices.hessian | HeatonReasearch |
| HessianFD | Calculate the Hessian matrix using the finite difference method. | Class | org.encog.mathutil.matrices.hessian | HeatonReasearch |
| IntPair | Class | org.encog.mathutil | HeatonReasearch | |
| IntRange | A range of integers. | Class | org.encog.mathutil | HeatonReasearch |
| InverseMultiquadricFunction | Multi-dimensional Inverse Multiquadric function. | Class | org.encog.mathutil.rbf | HeatonReasearch |
| LinearCongruentialRandom | A Linear Congruential random number generator. | Class | org.encog.mathutil.randomize.generate | HeatonReasearch |
| LUDecomposition | For an m-by-n matrix A with m >= n, the LU decomposition is an m-by-n unit lower triangular matrix L, an n-by-n upper triangular matrix U, and a | Class | org.encog.mathutil.matrices.decomposition | HeatonReasearch |
| MathConst | Math constants needed by Encog. | Class | org.encog.mathutil | HeatonReasearch |
| Matrix | This class implements a mathematical matrix. | Class | org.encog.mathutil.matrices | HeatonReasearch |
| MatrixError | Used by the matrix classes to indicate an error. | Class | org.encog.mathutil.matrices | HeatonReasearch |
| MatrixMath | This class can perform many different mathematical operations on matrixes. | Class | org.encog.mathutil.matrices | HeatonReasearch |
| MersenneTwisterGenerateRandom | The Mersenne twister is a pseudo random number generator developed in 1997 by Makoto Matsumoto and Takuji Nishimura that is based on a matrix linear recurrence over a finite binary field F2. | Class | org.encog.mathutil.randomize.generate | HeatonReasearch |
| MexicanHatFunction | Multi-dimensional Mexican Hat, or Ricker wavelet, function. | Class | org.encog.mathutil.rbf | HeatonReasearch |
| MultiDimension | Handle multi-dimensional integer-based dimensions. | Class | org.encog.mathutil.dimension | HeatonReasearch |
| MultiplyWithCarryGenerateRandom | In Multiply with Carry (MWC) is a pseudo random number generator computer science, multiply-with-carry (MWC) is a method invented by George Marsaglia for generating sequences of random integers based on an initial set | Class | org.encog.mathutil.randomize.generate | HeatonReasearch |
| MultiquadricFunction | Multi-dimensional Multiquadric function. | Class | org.encog.mathutil.rbf | HeatonReasearch |
| NguyenWidrowRandomizer | default weight initialization used by Encog, as it generally provides the most train-able neural network. | Class | org.encog.mathutil.randomize | HeatonReasearch |
| NumericRange | A numeric range has a high, low, mean, root-mean-square, standard deviation, and the count of how many samples it contains. | Class | org.encog.mathutil | HeatonReasearch |
| QRDecomposition | For an m-by-n matrix A with m >= n, the QR decomposition is an m-by-n orthogonal matrix Q and an n-by-n upper triangular matrix R so that A = Q*R. | Class | org.encog.mathutil.matrices.decomposition | HeatonReasearch |
| RadialBasisFunction | A multi-dimension RBF. | Interface | org.encog.mathutil.rbf | HeatonReasearch |
| RandomChoice | Generate random choices unevenly. | Class | org.encog.mathutil.randomize | HeatonReasearch |
| RandomFactory | Interface | org.encog.mathutil.randomize.factory | HeatonReasearch | |
| Randomizer | Defines the interface for a class that is capable of randomizing the weights and bias values of a neural network. | Interface | org.encog.mathutil.randomize | HeatonReasearch |
| RandomVariable | Class | org.encog.mathutil.probability.vars | HeatonReasearch | |
| RangeRandomizer | Class | org.encog.mathutil.randomize | HeatonReasearch | |
| RBFEnum | The implemented function types of the RBFs. | Class | org.encog.mathutil.rbf | HeatonReasearch |
| SecureGenerateRandom | A wrapper over Java's crypto secure random number generator. | Class | org.encog.mathutil.randomize.generate | HeatonReasearch |
| SingularValueDecomposition | Singular Value Decomposition. | Class | org.encog.mathutil.matrices.decomposition | HeatonReasearch |
| svm | Class | org.encog.mathutil.libsvm | HeatonReasearch | |
| svm_model | This class was taken from the libsvm package. | Class | org.encog.mathutil.libsvm | HeatonReasearch |
| svm_node | This class was taken from the libsvm package. | Class | org.encog.mathutil.libsvm | HeatonReasearch |
| svm_parameter | This class was taken from the libsvm package. | Class | org.encog.mathutil.libsvm | HeatonReasearch |
| svm_print_interface | This class was taken from the libsvm package. | Interface | org.encog.mathutil.libsvm | HeatonReasearch |
| svm_problem | This class was taken from the libsvm package. | Class | org.encog.mathutil.libsvm | HeatonReasearch |
| VariableList | Class | org.encog.mathutil.probability.vars | HeatonReasearch | |
| VectorAlgebra | Basic vector algebra operators. | Class | org.encog.mathutil | HeatonReasearch |