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On three intelligent systems: dynamic neural, fuzzy, and wavelet networks for training trajectory
2004
Neural computing & applications (Print)
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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
2018
2018 International Seminar on Intelligent Technology and Its Applications (ISITIA)
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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
2004
International Journal of Fuzzy Logic and Intelligent Systems
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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
2015
Mathematical Problems in Engineering
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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
2017
Journal of Intelligent & Fuzzy Systems
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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
2014
BioMedical Engineering OnLine
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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
2020
Al-Rafidain Engineering Journal
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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
2007
Biomedical Signal Processing and Control
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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)
2020
Journal of Intelligent & Fuzzy Systems
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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
2009
2009 IEEE International Symposium on Computational Intelligence in Robotics and Automation - (CIRA)
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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
2021
Journal of Intelligent & Fuzzy Systems
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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
2018
International Journal of Computational Intelligence Systems
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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
2017
2017 NASA/ESA Conference on Adaptive Hardware and Systems (AHS)
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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
2020
Journal of Intelligent & Fuzzy Systems
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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
2021
IEEE Access
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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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