To address the issue of soft-sensing of effluent total phosphorus in wastewater treatment
processes (WWTPs), a soft-sensing system based on an adaptive recursive fuzzy neural …

With the development of supply chain finance, the credit risk of small‐and medium‐sized
financing enterprises from the perspective of supply chain finance has arisen. Risk …

In recent years, due to the strong autonomous learning ability of neural network algorithms,
they have been applied for electrical impedance tomography (EIT). Although their imaging …

The aluminum fluoride (AF) addition in aluminum electrolysis process (AEP) can directly
influence the current efficiency, energy consumption, and stability of the process. This paper …

Existing multi-label learning classification algorithms ignore that class labels may be
determined by some features in the original feature space. And only a partial label of each …

In recent years, the rapid development of information technology has affected the way the
world economy operates. The emergence of e‐commerce has greatly shortened the time …

Quality Variables of industrial processes generally require to be obtained as fast as
possible. In this paper, a correlation-wise self-organizing fuzzy neural network (CwSFNN) for …

Municipal solid waste incineration (MSWI) process is a complex industrial process with
strong nonlinearity. It is a challenge to build a model for the MSWI process and carry out the …

In this study, a new control approach is introduced for active/reactive power control in
modernized microgrids (MMGs). The dynamics of MMG are considered to be unknown and a …

Modular neural network (MNN) has distinct advantage in many fields such as pattern
recognition and pattern recognition. However it is still a challenge to dynamically adjust the …