[Retracted] Development and Utilization of English Online Course Resources Based on Fuzzy Neural Network

Table 1

Several learning algorithms for fuzzy neural systems.

Learning objective	Specific algorithm	Characteristic
Structure learning	Mainly using clustering methods, extraction of rules from sample data	Subtractive clustering, entropy clustering, self-organizing clustering, incremental learning algorithms (LMS), genetic algorithms, and gradient descent methods
Parameter learning	Learning of parameters, which is essentially an optimization process	BP algorithms, genetic algorithms, rough set theory, particle swarm theory, and chaos theory
Hybrid learning	Parameter learning and structure learning are performed dynamically during the learning process	OLS methods based on fuzzy basis functions, augmented learning methods, hybrid algorithms (e.g., a combination of least squares and BP algorithms)