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Extreme learning machine (ELM) has shown to be extremely fast with better generalization performance. The basic idea of ELM algorithm is to randomly choose the parameters of hidden nodes and then use simple generalized inverse operation to solve for the output weights of the network. Such a procedure faces two problems. First, ELM tends to require more random hidden nodes than conventional tuning-based...
An on-line learning algorithm is introduced referred to as dynamic orthogonal structure adaptation (DOSA) algorithm for constructing radial basis function (RBF) networks with variable network structure. The RBF network is on-line adapted for both network structure and connecting parameters. Based on DOSA algorithm, an inverse control strategy is proposed and applied to ship control. Simulation results...
In this paper, a sequential learning algorithm for radial basis function (RBF) network is introduced referred to as dynamic orthogonal structure adaptation (DOSA) algorithm. Based on DOSA algorithm, a multi-step predictive control strategy is presented and applied to ship course-changing control. The combination of RBF network identification and predictive control mechanism minimizes the unfavorable...
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