5 citations · 10 across the 5 of their papers we have counts for
5 papers
Efficient neuro-fuzzy system and its Memristor Crossbar-based Hardware Implementation
Farnood Merrikh-Bayat, Saeed Bagheri-Shouraki
In this paper a novel neuro-fuzzy system is proposed where its learning is based on the creation of fuzzy relations by using new implication method without utilizing any exact math…
Reinforcement Learning Based on Active Learning Method
Hesam Sagha, Saeed Bagheri Shouraki, Hosein Khasteh +1
In this paper, a new reinforcement learning approach is proposed which is based on a powerful concept named Active Learning Method (ALM) in modeling. ALM expresses any multi-input-…
New S-norm and T-norm Operators for Active Learning Method
Ali Akbar Kiaei, Saeed Bagheri Shouraki, Seyed Hossein Khasteh +2
Active Learning Method (ALM) is a soft computing method used for modeling and control based on fuzzy logic. All operators defined for fuzzy sets must serve as either fuzzy S-norm o…
Memristor Crossbar-based Hardware Implementation of Fuzzy Membership Functions
Farnood Merrikh-Bayat, Saeed Bagheri Shouraki
In May 1, 2008, researchers at Hewlett Packard (HP) announced the first physical realization of a fundamental circuit element called memristor that attracted so much interest world…
Memristor-based Circuits for Performing Basic Arithmetic Operations
Farnood Merrikh-Bayat, Saeed Bagheri Shouraki
In almost all of the currently working circuits, especially in analog circuits implementing signal processing applications, basic arithmetic operations such as multiplication, addi…