A Hybrid Forward Algorithm for RBF Neural Network Construction

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A Hybrid Forward Algorithm for RBF Neural Network Construction

  • In This Study
  • This Paper Proposes A Novel Hybrid Forward Algorithm (Hfa) For The Construction Of Radial Basis Func
  • The Main Objective Is To Efficiently And Effectively Produce A Parsimonious Rbf Neural Network That
  • It Is Achieved Through Simultaneous Network Structure Determination And Parameter Optimization On Th
  • This Is A Mixed Integer Hard Problem And The Proposed Hfa Tackles This Problem Using An Integrated A
  • Leading To Significantly Improved Network Performance And Reduced Memory Usage For The Network Const
  • The Computational Complexity Analysis Confirms The Efficiency Of The Proposed Algorithm
  • And The Simulation Results Demonstrate Its Effectiveness


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