Class RadialBasisFunctionNetwork

constructor

• new RadialBasisFunctionNetwork(
      rbf?:
          | "gaussian"
          | "linear"
          | "multiquadric"
          | "inverse quadratic"
          | "inverse multiquadric"
          | "thin plate"
          | "bump",
      e?: number,
      l?: number,
  ): RadialBasisFunctionNetwork

  Parameters

  • Optionalrbf:
        | "gaussian"
        | "linear"
        | "multiquadric"
        | "inverse quadratic"
        | "inverse multiquadric"
        | "thin plate"
        | "bump"

    RBF name
  • Optionale: number

    Tuning parameter
  • Optionall: number

    Regularization parameter

  Returns RadialBasisFunctionNetwork

_f

_l

_w

_x

fit

• fit(x: number[][], y: number[][]): void

  Fit model.

  Parameters

  • x: number[][]

    Training data
  • y: number[][]

    Target values

  Returns void

predict

• predict(target: number[][]): number[]

  Returns predicted values.

  Parameters

  • target: number[][]

    Sample data

  Returns number[]

  Predicted values