Parallel nonlinear models using radial kernels on local mesh support have been designed and implemented for application to real-world problems. Although this recently developed approach reduces the memory requirements compared with other methodologies suggested over last few years, its computational cost makes parallelisation necessary, especially big datasets many instances or attributes. In w...