Improving the performance of adaptive neural fuzzy inference system (ANFIS) using a new meta-heuristic algorithm
M Khadem, A Toloie Eshlaghy… - International Journal of …, 2022 - journals.iau.ir
The adaptive fuzzy neural inference system (ANFIS) is an efficient estimation model not only
among fuzzy neural systems but also among other types of machine learning techniques …
among fuzzy neural systems but also among other types of machine learning techniques …
Modified ANFIS with Less model complexity for classification problems
A machine learning technique develops the best-fit model by adjusting weights based on
learning from data. Similarly, adaptive neuro-fuzzy inference system (ANFIS) is also one of …
learning from data. Similarly, adaptive neuro-fuzzy inference system (ANFIS) is also one of …
A divide-and-conquer strategy for adaptive neuro-fuzzy inference system learning using metaheuristic algorithm
MNM Salleh, K Hussain, N Talpur - Intelligent and Interactive Computing …, 2019 - Springer
Adaptive neuro-fuzzy inference system (ANFIS) has produced promising results in model
approximation. The core of ANFIS computation lies in the training of its parameters …
approximation. The core of ANFIS computation lies in the training of its parameters …
Rule-Based Modeling of Low-Dimensional Data with Pca and Binary Particle Swarm Optimization (Bpso) in Anfis
Fuzzy rule-based systems excel in interpreting data, especially in low-dimensional
scenarios. In contrast, deep learning, while effective in areas like image and speech …
scenarios. In contrast, deep learning, while effective in areas like image and speech …
Modified Adaptive Neuro-Fuzzy Inference System Trained by Scoutless Artificial Bee Colony
Neuro-fuzzy systems have produced high accuracy in modeling numerous real-world
applications. However, the in-built computational complexity and curse of dimensionality …
applications. However, the in-built computational complexity and curse of dimensionality …