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    • Hierarchical Linear and Nonlinear Adaptive Learning Model for System Identification and Prediction 

      Jami’in, Mohammad Abu; Anam, Khairul; Rulaningtyas, Riries; Mudjiono, Urip; Adianto, Adianto; Hui-Ming Wee (SPRINGER - Applied Intelligence, Online First Articles, Februari 2020, 2020-02-10)
      In this paper, we propose a method to increase the model accuracy with linear and nonlinear sub-models. The linear submodel applies the least square error (LSE) algorithm and the nonlinear sub-model uses neural networks ...