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On three intelligent systems: dynamic neural, fuzzy, and wavelet networks for training trajectory

Yasar Becerikli
2004 Neural computing & applications (Print)  
Intelligent systems, including neural networks (NNs), fuzzy logic (FL), and wavelet techniques, utilize the concepts of biological systems and human cognitive capabilities.  ...  These problems can be overcome with dynamic network structures, referred to as dynamic neural networks (DNNs), dynamic fuzzy networks (DFNs), and dynamic wavelet networks (DWNs), which have unconstrained  ...  fuzzy networks (DFNs), and those based on dynamic wavelet networks (DWNs).  ... 
doi:10.1007/s00521-004-0429-9 fatcat:6z4xyx5fprh2xobhozecctosqm

Searching Cheapest Product on Three Different E-Commerce Using K-Means Algorithm

Vincentius Riandaru Prasetyo
2018 2018 International Seminar on Intelligent Technology and Its Applications (ISITIA)  
Distributed Photovoltaic Generation Using Artificial Neural Network Tirta Mehang, Dedet Riawan, Vita Lystianingrum Wavelet Filter Selection Analysis for Air Gap Eccentricity in Three Phase Induction Motor  ...  Three Different E-Commerce Using K-Fuzzy Analytic Network Process-based Automatized SWOT Analysis for Optimizing Generation of Vocational School Accreditation Report Veronika Arisanti, I.  ... 
doi:10.1109/isitia.2018.8711043 fatcat:trmraahljje77g3zty5r5ht6km

Path Tracking Control Using a Wavelet Based Fuzzy Neural Network for Mobile Robots

Joon-Seop Oh, Yoon-Ho Park
2004 International Journal of Fuzzy Logic and Intelligent Systems  
The basic idea of our WFNN structure is to realize the process of fuzzy reasoning of the wavelet fuzzy system by the structure of a neural network and to make the parameters of fuzzy reasoning be expressed  ...  To design a controller, we present a WFNN structure that merges the advantages of the neural network, fuzzy model and wavelet transform.  ...  Intelligent control techniques, based on neural networks and fuzzy logic, have also been developed for path tracking control of mobile robots [7, 8] .  ... 
doi:10.5391/ijfis.2004.4.1.111 fatcat:gumgg3uz5ze55pyjvw37z2pqbm

New Achievements in Control of Robotic Systems

Víctor Santibáñez, Arturo Zavala-Río, Luis Rodolfo García Carrillo, Javier Moreno-Valenzuela
2015 Mathematical Problems in Engineering  
Acknowledgment We thank the reviewers of the journal for the invaluable comments and suggestions given to the authors, which really helped to improve the quality of the papers published in the current  ...  Intelligent Control and Optimization Algorithms The paper "Robust Takagi-Sugeno Fuzzy Dynamic Regulator for Trajectory Tracking of a Pendulum-Cart System" by M. A.  ...  Furthermore, recurrent wavelet neural networks (RWNNs), which combine properties such as dynamic response of recurrent neural networks (RNNs) and the fast convergence of WNNs, have been used to identify  ... 
doi:10.1155/2015/514105 fatcat:ufohsarfy5b55l3qs4zifh6nli

Special issue on soft computing and intelligent systems: Tools, techniques and applications

Sabu M. Thampi, El-Sayed M. El-Alfy, Sabu M. Thampi, El-Sayed M. El-Alfy
2017 Journal of Intelligent & Fuzzy Systems  
These papers have been reviewed and accepted for presentation at the symposium and for publication in the Journal of Intelligent & Fuzzy Systems (JIFS).  ...  The proposed technique uses Particle Swarm Optimization (PSO), Cellular Neural Network (CNN) and Probabilistic Neural Network (PNN).  ...  The cascade structure uses the trained neural network to filter the training data which is used along with a boostingbased learning algorithm to learn an optimal set of neural network parameters for each  ... 
doi:10.3233/jifs-169221 fatcat:f43kb5ygbfhlho5cfwogbcyegq

Hybrid soft computing systems for electromyographic signals analysis: a review

Hong-Bo Xie, Tianruo Guo, Siwei Bai, Socrates Dokos
2014 BioMedical Engineering OnLine  
This paper reviews and compares key combinations of neural network, support vector machine, fuzzy logic, evolutionary computing, and swarm intelligence for EMG analysis.  ...  With the advances of artificial intelligence and soft computing, many sophisticated techniques have been proposed for such purpose.  ...  Adaptive neuro fuzzy inference system (ANFIS) is a kind of neural network structure based on Takagi-Sugeno fuzzy inference system.  ... 
doi:10.1186/1475-925x-13-8 pmid:24490979 pmcid:PMC3922626 fatcat:uifnqy6tmfe4nbnkif2fwmun44

Faults Diagnosis in Robot Systems: A Review

Muhamad A.Alobaidy, Dr. Jassim Abdul-Jabbar, Saad Al-khayyt
2020 Al-Rafidain Engineering Journal  
Any robot system consists of mechanical and electrical components. These components are combined and compacted together with a special controller to do a specific work.  ...  Mostly and with time obsolescence, faults and errors are happen in robot systems lead to work problems. Many years ago, researchers are working in this field.  ...  Artificial Neural Network (ANN) Artificial neural network is one of the most intelligent and technical methods used in many field today.  ... 
doi:10.33899/rengj.2020.127782.1051 fatcat:7orqgwahwnfipihicwewchgl64

Myoelectric control systems—A survey

Mohammadreza Asghari Oskoei, Huosheng Hu
2007 Biomedical Signal Processing and Control  
Directions for future research are also briefly outlined. #  ...  , and potential application.  ...  [19] proposed a fuzzy approach to neural networks for myoelectric pattern recognition.  ... 
doi:10.1016/j.bspc.2007.07.009 fatcat:njsfxw7ykvcsdnaetq2k2ddh7e

Applied machine learning and management of volatility, uncertainty, complexity & ambiguity (V.U.C.A)

Srikanta Patnaik
2020 Journal of Intelligent & Fuzzy Systems  
mortgage of farmers based on Dynamic Bayes Network (DBN) and fuzzy system.  ...  The next paper entitled, "Research and Analysis of Intelligent English Learning System Based on Improved Neural Network" by Meng Yin, proposed an intelligent English learning system based on improved neural  ...  Qinge Wang and Huihua Chen in their paper entitled, "Optimization of Parallel Random forest Algorithm based on Distance Weight", proposed an optimization method based on distance weights for parallel random  ... 
doi:10.3233/jifs-179915 fatcat:njwjogoperg2jggdkyheiibbhi

Virtual and intelligent traffic signs in rescue simulation system: Imitation of human society in agent society

Mostafa Asghari, Behrooz Masoumi, Mohammad Reza Meybodi
2009 2009 IEEE International Symposium on Computational Intelligence in Robotics and Automation - (CIRA)  
A new approach to control system design is required to facilitate the development of modular and scalable ...expand SECTION: Neural networks Stable trajectory generator: echo state network trained by particle  ...  swarm optimization Qingsong Song, Zuren Feng Pages: 21-26 Recurrent neural networks (RNNs) have good modeling capability for nonlinear dynamic systems, but due to the difficulties for training this superiority  ...  Two intelligent controllers based on fuzzy logic and neural network are developed to trace the desired trajectory for a robot.  ... 
doi:10.1109/cira.2009.5423206 dblp:conf/cira/AsghariMM09 fatcat:r5aq3mrpuvd7zdnf3ju7rflzrq

Complex evolutionary artificial intelligence in cognitive digital twinning

Neal Wagner, Sundhararajan, Le Hoang Son, Meng Joo, Neal Wagner, Sundhararajan, Le Hoang Son, Meng Joo
2021 Journal of Intelligent & Fuzzy Systems  
This special issue of the Journal of Intelligent & Fuzzy Systems contains selected articles of complex evolutionary artificial intelligence in cognitive digital twinning.  ...  Article [45] builds an analysis model based on artificial intelligence and fuzzy neural network.  ...  In Article [47] , Based on the neural network and network characteristics, a system model is constructed, and the application of structural disturbance theory in dynamic networks is studied.  ... 
doi:10.3233/jifs-189203 fatcat:an6l4ybtbfd7pegs6jckt64v2y

Computational Intelligence in Astronomy: A Survey

Ke Wang, Ping Guo, Fusheng Yu, Lingzi Duan, Yuping Wang, Hui Du
2018 International Journal of Computational Intelligence Systems  
We believe that computational intelligence is expected to provide powerful tools for addressing challenges in astronomical data analysis.  ...  This situation has motivated needs for fostering of a wide range of cooperation with the astronomers and computer scientists.  ...  The remainder of the paper summarizes the related application of computational intelligence techniques in astronomy from three aspects, i.e. the artificial neural network, the fuzzy set, and the evolutionary  ... 
doi:10.2991/ijcis.11.1.43 fatcat:l6oo3e37tvdqjms5jmuoe2lrju

Adaptive and intelligent navigation of autonomous planetary rovers — A survey

Cuebong Wong, Erfu Yang, Xiu-Tian Yan, Dongbing Gu
2017 2017 NASA/ESA Conference on Adaptive Hardware and Systems (AHS)  
2017) Adaptive and intelligent navigation of autonomous planetary rovers -a survey. In: 2017 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2017. IEEE, Piscataway, N.J., pp. 237-244.  ...  The development of a truly autonomous rover system with the capability to be effectively navigated in such environments requires intelligent and adaptive methods fitting for a system with limited resources  ...  The work in [24] investigated the performance of a mobile robot using wavelet neural network for navigation.  ... 
doi:10.1109/ahs.2017.8046384 dblp:conf/ahs/WongYYG17 fatcat:iwlth237anf7dhrbpy3seuul3q

Computational human performance modelling for human-in-the-Loop machine systems

Hoshang Kolivand, E. Balas Valentina, Anand Paul, Varatharajan
2020 Journal of Intelligent & Fuzzy Systems  
This special issue of the Journal of Intelligent & Fuzzy Systems contains selected articles of computational human performance modelling for human-in-the-loop machine systems.  ...  player motion recognition system based on the improved ISA neural network algorithm.  ...  In addition, the system is built on the basis of algorithms and model support, which makes fuzzy English recognition intelligent.  ... 
doi:10.3233/jifs-189020 fatcat:l7eb5bkzy5bsjplmrfd55fqmeu

Systematic Review of Intelligent Algorithms in Gait Analysis and Prediction for Lower Limb Robotic Systems

Rania Kolaghassi, Mohamad Kenan Al-Hares, Konstantinos Sirlantzis
2021 IEEE Access  
An adaptive neural-fuzzy inference system (ANFIS), which is a combination of Takagi-Sugeno fuzzy inference system and neural networks, is implemented by Hua et al [74] for detecting two phases: stance  ...  Some features are more suited for classifying static modes such as leg angles, and others for dynamic modes. Three neural networks were developed with three layers each.  ... 
doi:10.1109/access.2021.3104464 fatcat:bwnhkab6yjajtkvp3srzejpxru
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