Random vector functional link network: Recent developments, applications, and future directions

Neural networks have been successfully employed in various domains such as classification, regression and clustering, etc. Generally, the back propagation (BP) based iterative approaches are used to train the neural networks, however, it results in the issues of local minima, sensitivity to learning rate and slow convergence. To overcome these issues, randomization based neural networks such as random vector functional link (RVFL) network have been proposed. RVFL model has several characteristics such as fast training speed, direct links, simple architecture, and universal approximation capability, that make it a viable randomized neural network. This article presents the first comprehensive review of the…

• DO
  Department of Science and Technology, Ministry of Science and Technology, India

  Awards: DST/ICPS/CPS-Individual/2018/276, MTR/2021/000787, 09/1022 (0075)/2019-EMR-I
• CO
  Council of Scientific and Industrial Research, India

  Awards: 2019-EMR-I, 09/1022
• II
  Indian Institute of Technology Indore
• QN
  Qatar National Library

  Award: D_HPC _Appl/2021/03.29