Mehdi Neshat
Cited by
Cited by
Artificial fish swarm algorithm: a survey of the state-of-the-art, hybridization, combinatorial and indicative applications
M Neshat, G Sepidnam, M Sargolzaei, AN Toosi
Artificial intelligence review 42 (4), 965-997, 2014
A fuzzy expert system for heart disease diagnosis
A Adeli, M Neshat
Proceedings of international multi conference of engineers and computer …, 2010
Fuzzy expert system design for diagnosis of liver disorders
M Neshat, M Yaghobi, MB Naghibi, A Esmaelzadeh
2008 International Symposium on Knowledge Acquisition and Modeling, 252-256, 2008
Swallow swarm optimization algorithm: a new method to optimization
M Neshat, G Sepidnam, M Sargolzaei
Neural Computing & Applications, 1-26, 2012
Hepatitis disease diagnosis using hybrid case based reasoning and particle swarm optimization
M Neshat, M Sargolzaei, A Nadjaran Toosi, A Masoumi
International Scholarly Research Notices 2012, 2012
Designing a fuzzy expert system of diagnosing the hepatitis B intensity rate and comparing it with adaptive neural network fuzzy system
M Neshat, M Yaghobi
Proceedings of the World Congress on Engineering and Computer Science 2, 797-802, 2009
A Review of Artificial Fish Swarm Optimization Methods and Applications
M Neshat, A Adeli, G Sepidnam, M Sargolzaei, A Najaran Toosi
International Journal on Smart Sensing and Intelligent Systems 5, 107 – 148, 2012
A New Cooperative Algorithm Based on PSO and K-Means for Data Clustering
M Neshat, SF Yazdi, D Yazdani, M Sargolzaei
Journal of Computer Science 8, 2012
A comparative study on ANFIS and fuzzy expert system models for concrete mix design
M Neshat, A Adeli, A Masoumi, M Sargolzae
International Journal of Computer Science Issues (IJCSI) 8 (3), 196, 2011
A detailed comparison of meta-heuristic methods for optimising wave energy converter placements
M Neshat, B Alexander, M Wagner, Y Xia
Proceedings of the Genetic and Evolutionary Computation Conference, 1318-1325, 2018
FAIPSO: fuzzy adaptive informed particle swarm optimization
M Neshat
Neural Computing & Applications, 1-22, 2012
A Hybrid Evolutionary Algorithm Framework for Optimising Power Take off and Placements of Wave Energy Converters
M Neshat, B Alexander, NY Sergiienko, M Wagner
Proceedings of the Genetic and Evolutionary Computation Conference, 1293--1301, 2019
Hopfield neural network and fuzzy Hopfield neural network for diagnosis of liver disorders
M Neshat, AE Zadeh
2010 5th IEEE International Conference Intelligent Systems, 162-167, 2010
The new method of adaptive CPU scheduling using Fonseca and Fleming's genetic algorithm
M Neshat, M Sargolzaei, A Nadjaran, A Adeli
Journal of Theoretical and Applied Information Technology 37 (1), 1-16, 2012
Predication of concrete mix design using adaptive neural fuzzy inference systems and fuzzy inference systems
M Neshat, A Adeli, G Sepidnam, M Sargolzaei
The International Journal of Advanced Manufacturing Technology 63 (1), 373-390, 2012
Adaptive neuro-surrogate-based optimisation method for wave energy converters placement optimisation
M Neshat, E Abbasnejad, Q Shi, B Alexander, M Wagner
International Conference on Neural Information Processing, 353-366, 2019
A hybrid cooperative co-evolution algorithm framework for optimising power take off and placements of wave energy converters
M Neshat, B Alexander, M Wagner
Information Sciences, 2020
A New Skin Color Detection Approach based on Fuzzy Expert System
M Neshat, G Sepidname, A Eizi, A Amani
Indian Journal of Science and Technology 8 (21), 1-11, 2015
Diagnosing hepatitis disease by using fuzzy hopfield neural network
M Neshat, A Masoumi, M Rajabi, H Jafari
Annual Research & Review in Biology, 2709-2721, 2014
FESHDD: fuzzy expert system for hepatitis B diseases diagnosis
M Neshat, M Yaghobi
2009 Fifth International Conference on Soft Computing, Computing with Words …, 2009
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