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Dec 5, 2019 · The broad learning system (BLS) approach provides low computational complexity solutions for training flat structure feedforward networks.
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Abstract. The broad learning system (BLS) approach provides low computational complexity solutions for training flat structure feedfor- ward networks.
The broad learning system (BLS) framework gives an efficient solution for training flat-structured feedforward networks and flat structured deep neural ...
Aug 15, 2023 · This study is aimed to design a fault-tolerant control using a broad learning neural network (BLNN) for a two-degree-of-freedom (2-DOF) nonlinear helicopter ...
Dec 30, 2023 · A novel adaptive imbalance modified online broad learning system (AIM-OBLS) is developed to promote fault diagnosis in the contexts of imbalanced chemical ...
This study is aimed to design a fault-tolerant control using a broad learning neural network (BLNN) for a two-degree-of-freedom (2-DOF) nonlinear helicopter ...
The broad learning system (BLS) approach provides low computational complexity solutions for training flat structure feedforward networks. However, many BLS ...
Computer Science · Fault Tolerant · Broad Learning Syst... · Objective Function · Algorithms · Feedforward Network · Computational Compl... · training algorithm ...
A novel learning algorithm which improves the partial fault tolerance of multilayer neural networks · salvatore cavalieri ; Partially weight minimization ...
In this paper, a Broad Learning System (BLS) based adaptive full state constrained controller is investigated for a class of Space Unmanned Systems (SUSs)