Sanyi Li

Orcid: 0009-0009-0373-7562

According to our database1, Sanyi Li authored at least 15 papers between 2016 and 2026.

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Bibliography

2026
Synchronization of multiple fuzzy neural networks via quantised iterative learning control.
Int. J. Syst. Sci., May, 2026

Adaptive hybrid response prediction for dynamic multi-objective optimization.
Evol. Intell., April, 2026

Dynamic adaptive minimum adjustment consensus-based probabilistic double hierarchy linguistic Petri nets for superheat degree recognition.
Expert Syst. Appl., 2026

A Dynamic Multi-objective Optimization Algorithm for Black-Box Optimization in Dynamic Irregular Environment.
J. Comput. Inf. Technol., 2026

2025
A Special Points and Neural Network-Based Dynamic Multi-Objective Optimization Algorithm.
IEEE Access, 2025

An Improved Stochastic Configuration Networks With Compact Structure and Parameter Adaptation.
IEEE Access, 2025

2022
Multistability analysis of switched fractional-order recurrent neural networks with time-varying delay.
Neural Comput. Appl., 2022

Simplified Neutrosophic Petri Nets Used for Identification of Superheat Degree.
Int. J. Fuzzy Syst., 2022

2021
A modular neural network-based population prediction strategy for evolutionary dynamic multi-objective optimization.
Swarm Evol. Comput., 2021

Knowledge representation and reasoning with industrial application using interval-valued intuitionistic fuzzy Petri nets and extended TOPSIS.
Int. J. Mach. Learn. Cybern., 2021

Identify risk factors and predict the postoperative risk of ESCC using ensemble learning.
Biomed. Signal Process. Control., 2021

2018
Highly Efficient Quality Assessment of 3D-Synthesized Views Based on Compression Technology.
IEEE Access, 2018

2017
An improved algorithm for building self-organizing feedforward neural networks.
Neurocomputing, 2017

Compression-Based Quality Predictor of 3D-Synthesized Views.
Proceedings of the Digital TV and Wireless Multimedia Communication, 2017

2016
Mutual information based weight initialization method for sigmoidal feedforward neural networks.
Neurocomputing, 2016


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