Mohammad Mehdi Ebadzadeh

Orcid: 0000-0001-6466-5229

  • Amirkabir University of Technology, Department of Computer Engineering and Information Technology, Tehran, Iran

According to our database1, Mohammad Mehdi Ebadzadeh authored at least 72 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:



Reservoir consisting of diverse dynamical behaviors and its application in time series classification.
Int. J. Data Sci. Anal., January, 2024

Multi-step-ahead stock price prediction using recurrent fuzzy neural network and variational mode decomposition.
Appl. Soft Comput., November, 2023

A hierarchical estimation of multi-modal distribution programming for regression problems.
Knowl. Based Syst., 2023

A Novel Self-Organizing Fuzzy Neural Network to Learn and Mimic Habitual Sequential Tasks.
IEEE Trans. Cybern., 2022

Reservoir weights learning based on adaptive dynamic programming and its application in time series classification.
Neural Comput. Appl., 2022

Adaptive Explicit Kernel Minkowski Weighted K-means.
Inf. Sci., 2022

A novel learning algorithm based on computing the rules' desired outputs of a TSK fuzzy neural network with non-separable fuzzy rules.
Neurocomputing, 2022

MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time Series Prediction.
Neurocomputing, 2022

Semantic schema based genetic programming for symbolic regression.
Appl. Soft Comput., 2022

A full-featured cooperative coevolutionary memory-based artificial immune system for dynamic optimization.
Appl. Soft Comput., 2022

Entropy based dictionary learning for image classification.
Pattern Recognit., 2021

EnTRPO: Trust Region Policy Optimization Method with Entropy Regularization.
CoRR, 2021

Modified Double DQN: addressing stability.
CoRR, 2021

Maximum Entropy Dueling Network Architecture.
CoRR, 2021

Mathematical analysis of the role of pituitary-adrenal interactions in ultradian rhythms of the HPA axis.
Comput. Biol. Medicine, 2021

Kernel compositional embedding and its application in linguistic structured data classification.
Knowl. Based Syst., 2020

Backpropagation-Free Learning Method for Correlated Fuzzy Neural Networks.
CoRR, 2020

An intelligent approach for predicting resource usage by combining decomposition techniques with NFTS network.
Clust. Comput., 2020

A memetic grouping genetic algorithm for cost efficient VM placement in multi-cloud environment.
Clust. Comput., 2020

A Computational System-Level Model of Oculomotor Pathways Accounting for the Representation of Eye Biomechanics in the Cerebellar Vermis.
IEEE Access, 2020

Fuzzy neural network with support vector-based learning for classification and regression.
Soft Comput., 2019

Support vector-based fuzzy classifier with adaptive kernel.
Neural Comput. Appl., 2019

Genetic programming performance prediction and its application for symbolic regression problems.
Inf. Sci., 2019

Dictionary learning enhancement framework: Learning a non-linear mapping model to enhance discriminative dictionary learning methods.
Neurocomputing, 2019

A self-organizing fuzzy neural network for sequence learning.
CoRR, 2019

IC-FNN: A Novel Fuzzy Neural Network With Interpretable, Intuitive, and Correlated-Contours Fuzzy Rules for Function Approximation.
IEEE Trans. Fuzzy Syst., 2018

An improved semantic schema modeling for genetic programming.
Soft Comput., 2018

A system-level mathematical model of Basal Ganglia motor-circuit for kinematic planning of arm movements.
Comput. Biol. Medicine, 2018

A decomposition method for symbolic regression problems.
Appl. Soft Comput., 2018

Semantic schema modeling for genetic programming using clustering of building blocks.
Appl. Intell., 2018

Bayesian network structure training based on a game of learning automata.
Int. J. Mach. Learn. Cybern., 2017

A possible correlation between the basal ganglia motor function and the inverse kinematics calculation.
J. Comput. Neurosci., 2017

Fuzzy neuronal model of motor control inspired by cerebellar pathways to online and gradually learn inverse biomechanical functions in the presence of delay.
Biol. Cybern., 2017

Graphical model based continuous estimation of distribution algorithm.
Appl. Soft Comput., 2017

Statistical genetic programming for symbolic regression.
Appl. Soft Comput., 2017

History-Driven Particle Swarm Optimization in dynamic and uncertain environments.
Neurocomputing, 2016

Imprecise query processing in wireless sensor networks: a fuzzy-based approach.
Int. J. Ad Hoc Ubiquitous Comput., 2016

A new real-coded stochastic Bayesian optimization algorithm for continuous global optimization.
Genet. Program. Evolvable Mach., 2016

Endmember orthonormal mapping in hyperspectral mixture analysis to address endmember variability.
Earth Sci. Informatics, 2016

Semantic schema theory for genetic programming.
Appl. Intell., 2016

BNC-VLA: bayesian network structure learning using a team of variable-action set learning automata.
Appl. Intell., 2016

CFNN: Correlated fuzzy neural network.
Neurocomputing, 2015

Improving GP generalization: a variance-based layered learning approach.
Genet. Program. Evolvable Mach., 2015

Dynamics of the HPA axis and inflammatory cytokines: Insights from mathematical modeling.
Comput. Biol. Medicine, 2015

Cerebellum-inspired neural network solution of the inverse kinematics problem.
Biol. Cybern., 2015

Avoiding Overfitting in Symbolic Regression Using the First Order Derivative of GP Trees.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Estimation of mutual information by the fuzzy histogram.
Fuzzy Optim. Decis. Mak., 2014

A Danger-Based Approach to Intrusion Detection.
CoRR, 2014

Adaptive cooperative particle swarm optimizer.
Appl. Intell., 2013

A competitive clustering particle swarm optimizer for dynamic optimization problems.
Swarm Intell., 2012

Immune based fuzzy agent plays checkers game.
Appl. Soft Comput., 2012

Three new fuzzy neural networks learning algorithms based on clustering, training error and genetic algorithm.
Appl. Intell., 2012

Adaptive Quantum-inspired Evolution Strategy.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

A novel particle swarm optimization algorithm with adaptive inertia weight.
Appl. Soft Comput., 2011

A fuzzy framework for Semantic Web Service description, matchmaking, ranking and selection.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

Kernel evolution for support vector classification.
Proceedings of the 2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems, 2011

Application of particle swarm optimization and snake model hybrid on medical imaging.
Proceedings of the IEEE Third International Workshop On Computational Intelligence In Medical Imaging, 2011

Fuzzy Decision Tree Learning for Preoperative Classification of Adnexal Masses.
Proceedings of the HEALTHINF 2011, 2011

Fuzzy External Force for Snake.
Proceedings of the Seventh International Conference on Information Technology: New Generations, 2010

On fuzzy Semantic Web Services.
Proceedings of the FUZZ-IEEE 2010, 2010

A novel multi-epitopic immune network model hybridized with neural theory and fuzzy concept.
Neural Networks, 2009

A novel hybrid algorithm for creating self-organizing fuzzy neural networks.
Neurocomputing, 2009

An expert system for predicting longitudinal dispersion coefficient in natural streams by using ANFIS.
Expert Syst. Appl., 2009

Quantum-Inspired Evolution Strategy.
Proceedings of the First International Conference of Soft Computing and Pattern Recognition, 2009

A Hybrid Fuzzy Neuro-Immune Network based on Multi-Epitope approach.
Proceedings of the International Joint Conference on Neural Networks, 2009

Fuzzy generalized hough transform invariant to rotation and scale in noisy environment.
Proceedings of the FUZZ-IEEE 2009, 2009

A DDoS-Aware IDS Model Based on Danger Theory and Mobile Agents.
Proceedings of the 2009 International Conference on Computational Intelligence and Security, 2009

Evaluating the performance of DNPSO in dynamic environments.
Proceedings of the IEEE International Conference on Systems, 2008

Convergence analysis of quantum-inspired genetic algorithms with the population of a single individual.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

DNPSO: A Dynamic Niching Particle Swarm Optimizer for multi-modal optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Material Classification of Hyperspectral Images Using Unsupervised Fuzzy Clustering Methods.
Proceedings of the Third International IEEE Conference on Signal-Image Technologies and Internet-Based System, 2007

Automatic Design of Modular Neural Networks Using Genetic Programming.
Proceedings of the Artificial Neural Networks, 2007