Using the iterative reproducing kernel method for solving a class of nonlinear fractional differential equations.
Yulan WangDan TianShu-Hong BaoZhi-yuan LiPublished in: Int. J. Comput. Math. (2017)
Keyphrases
- differential equations
- feed forward artificial neural networks
- kernel methods
- fractional order
- ordinary differential equations
- boundary value problem
- difference equations
- continuous functions
- numerical solution
- dynamical systems
- artificial neural networks
- reproducing kernel hilbert space
- nonlinear differential equations
- nonlinear equations
- runge kutta
- numerical methods
- kernel pca
- machine learning
- brownian motion
- partial differential equations
- kernel function
- support vector
- data mining
- reproducing kernel
- support vector machine
- high dimensional feature space
- feature extraction
- image processing
- kernel principal component analysis
- finite dimensional
- linear systems