Abstract: Fuzzy recurrent stochastic configuration networks (F-RSCNs) have shown great potential in modeling nonlinear dynamic systems due to their high learning efficiency, less human intervention, ...
This project builds a Python-based portfolio optimization and risk modeling framework using historical stock price data from 2020 to 2025. The project compares three investment strategies: Equal ...
Abstract: This paper proposes a stochastic process based remaining useful life (RUL) prediction method for hybrid systems in the presence of intermittent fault. The failure of an intermittently faulty ...
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