activity
20192022
most citedBackpropagation-Free Learning Method for Correlated Fuzzy Neural Networks

35 citations · 89 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2022★ 14 cited

UNFIS: A Novel Neuro-Fuzzy Inference System with Unstructured Fuzzy Rules for Classification

Armin Salimi-Badr

An important constraint of Fuzzy Inference Systems (FIS) is their structured rules defined based on evaluating all input variables. Indeed, the length of all fuzzy rules and the nu…

cs.DC2022★ 16 cited

A novel evolutionary-based neuro-fuzzy task scheduling approach to jointly optimize the main design challenges of heterogeneous MPSoCs

Athena Abdi, Armin Salimi-Badr

In this paper, an online task scheduling and mapping method based on a fuzzy neural network (FNN) learned by an evolutionary multi-objective algorithm (NSGA-II) to jointly optimize…

cs.LG2021★ 24 cited

Parkinson's Disease Diagnosis based on Gait Cycle Analysis Through an Interpretable Interval Type-2 Neuro-Fuzzy System

Armin Salimi-Badr, Mohammad Hashemi, Hamidreza Saffari

In this paper, an interpretable classifier using an interval type-2 fuzzy neural network for detecting patients suffering from Parkinson's Disease (PD) based on analyzing the gait…

cs.LG2020★ 35 cited

Backpropagation-Free Learning Method for Correlated Fuzzy Neural Networks

Armin Salimi-Badr, Mohammad Mehdi Ebadzadeh

In this paper, a novel stepwise learning approach based on estimating desired premise parts' outputs by solving a constrained optimization problem is proposed. This learning approa…

cs.NE2019

A self-organizing fuzzy neural network for sequence learning

Armin Salimi-Badr, Mohammad Mehdi Ebadzadeh

In this paper, a new self-organizing fuzzy neural network model is presented which is able to learn and reproduce different sequences accurately. Sequence learning is important in…