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Input Displacement Neuro-fuzzy Control and Object Recognition by Compliant Multi-fingered Passively Adaptive Robotic Gripper
2015
Journal of Intelligent and Robotic Systems
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Here, an adaptive neuro fuzzy inference system (ANFIS) for controlling input displacement and object recognition of a new adaptive compliant gripper is presented. ...
Fuzzy based controllers develop a control signal according to grasping object shape which yields on the firing of the rule base. ...
Acknowledgments This work also funded by the University of Malaya, Malaysia, under grant RP005A-13ICT. ...
doi:10.1007/s10846-015-0182-6
fatcat:n77idb5etzgg3ign7sqlngpdtu
Evaluation of Flashover Voltage Levels of Contaminated Hydrophobic Polymer Insulators Using Regression Trees, Neural Networks, and Adaptive Neuro-Fuzzy
2018
TELKOMNIKA (Telecommunication Computing Electronics and Control)
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The models are constructed using the regression tree method, artificial neural network (ANN), and adaptive neuro -fuzzy (ANFIS). ...
Besides, water conductivity (µS /cm), numb er of droplets on the surface, and volume of water droplet (ml) are considered. ...
Adaptive Neuro-Fuzzy Inference System Adaptive neuro-fuzzy inference system (ANFIS) combines the merits of fuzzy as well as the adaptability of ANN. ...
doi:10.12928/telkomnika.v16i3.5103
fatcat:fnjcdlkrhjdpnhlo4samrihjue
Subject index 2018
2018
IEEE transactions on dielectrics and electrical insulation
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Arcs and Arc Resistance Simulation 2049 LIFE ESTIMATION: Accelerated Aging Test and Life Expectancy of Reduced-Wall High-Stress MV TRXLPE Cables 1039 Application of Adaptive Neuro Fuzzy Inference System ...
Application of Adaptive Neuro Fuzzy Inference System to Support Power Transformer Life Estimation and Asset Management Decision 845 Application of UHF Method for Partial Discharge Source Location in Power ...
doi:10.1109/tdei.2018.8561357
fatcat:dunr2t5nkfd2vg7iqhvsfshrjq
Modelling and control of a Magneto-Rheological elastomer for impact reduction
2019
Journal of Mechanical Engineering and Sciences
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The effectiveness of the actively controlled MREID is evaluated using MATLAB simulations by comparing the performance of the MREID controlled by skyhook control against a passive damper. ...
The proposed control strategy is used for force tracking control in determining the amount of input current to be applied to the MREID. ...
The weight ratio of the silicone rubber and the silicone oil in the composition matrix was 1:1. ...
doi:10.15282/jmes.13.3.2019.04.0430
fatcat:72c5oo5qj5bbfcl5ablagv6lqq
Progress towards biocompatible intracortical microelectrodes for neural interfacing applications
2014
Journal of Neural Engineering
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or that incorporate compliant materials, bioactive molecules, conducting polymers or nanomaterials. ...
To ensure long-term consistent neural recordings, next-generation intracortical microelectrodes are being developed with an increased emphasis on reducing the neuro-inflammatory response. ...
Design of easily manufacturable, highly conductive, and mechanically strong and flexible intracortical electrodes using nanomaterials, and conductive and adaptive polymers.
7. ...
doi:10.1088/1741-2560/12/1/011001
pmid:25460808
pmcid:PMC4428498
fatcat:yk3auje62jhvzhyvnpq7yrd5si
Recent Advances in Multi-Dimensional Vibration Mitigation Materials and Devices
2019
Frontiers in Materials
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Subsequently, the vibration mitigation devices in civil engineering, mechanical engineering, and aerospace engineering are reviewed and commented, respectively. ...
Harmful vibrations can cause many engineering problems, such as disasters of civil engineering structures, failure of precision equipment, and the disruption of some spacecraft components. ...
Xu et al. (2016c) studied several kinds of VE materials based on different matrix rubbers, conducted experiments on VE dampers based on nitrile butadiene rubber (NBR) matrix and silicone rubber (SR) matrix ...
doi:10.3389/fmats.2019.00143
fatcat:ljmvfndxm5ctdgxwmdwtmz5cie
Geopolymer Concrete Compressive Strength via Artificial Neural Network, Adaptive Neuro Fuzzy Interface System, and Gene Expression Programming With K-Fold Cross Validation
2021
Frontiers in Materials
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In this study, the three artificial intelligence (AI) techniques, namely, artificial neural network (ANN), adaptive neuro-fuzzy interface (ANFIS), and gene expression programming (GEP) are used to establish ...
The k-fold cross-validation (CV) of the GEP model is also conducted, which verifies the robustness of the GEP predictive model. ...
of science and technology (NUST), Islamabad, Pakistan. ...
doi:10.3389/fmats.2021.621163
doaj:0a0ea4020cdc4c43801a1af01e3fc332
fatcat:ojf75r7rz5bljffcw5oekhs34e
Predictive Modeling of Mechanical Properties of Silica Fume-Based Green Concrete Using Artificial Intelligence Approaches: MLPNN, ANFIS, and GEP
2021
Materials
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Multilayer perceptron neural networks (MLPNN), adaptive neural fuzzy detection systems (ANFIS), and genetic programming are all used (GEP). ...
Thus, this study aims to create modelling tools for estimating the compressive and cracking tensile strengths of silica fume concrete. ...
Adaptive Neural Fuzzy Detection System (ANFIS) Jang was the first to introduce the adaptive network-based fuzzy inference technology. ...
doi:10.3390/ma14247531
pmid:34947124
pmcid:PMC8703652
fatcat:2j6meimu6rhyfhdjbtckvt6g5a
A critical review of interfaces with the peripheral nervous system for the control of neuroprostheses and hybrid bionic systems
2005
Journal of the peripheral nervous system
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The last section reviews different strategies for the use of information recorded from peripheral interfaces and the current state of control neuroprostheses and hybrid bionic systems. ...
A number of neuroprostheses use interfaces with peripheral nerves or muscles for neuromuscular stimulation and signal recording. ...
Acknowledgements This work was supported by grant IST-001917 (NEUROBOTICS, 'Fusing Neuroscience and Robotics'). funded by the European Commission in the framework of the ''Information Society Technologies ...
doi:10.1111/j.1085-9489.2005.10303.x
pmid:16221284
fatcat:jtvarkbdybehfk3oe7d2bwrjje
A stable and accurate control-volume technique based on integrated radial basis function networks for fluid-flow problems
2011
Australian Journal of Mechanical Engineering
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[1195] Adaptive Neuro-Fuzzy Modelling of a high-rise structure equipped with an Active Tuned Mass Damper F. ...
an
adaptable solution
NTS Ultrasonics Pty Ltd
James W. ...
17:10 Shape and topology optimization of mechanical components using adaptive biological growth method 17:10 CLOSING CEREMONY ...
doi:10.1080/14484846.2011.11464606
fatcat:k7f6s2ma4rggtaeu3amlohyvr4
Modeling of Mechanical Properties of Silica Fume-Based Green Concrete Using Machine Learning Techniques
2021
Polymers
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Incorporating SF as a partial substitution of cement in concrete has obvious advantages, including reduced CO2 emission, cost-effective concrete, enhanced durability, and mechanical properties. ...
The evaluation of models was performed by different statistical parameters, such as mean absolute error (MAE), root mean squared error (RMSE), root mean squared log error (RMSLE), and coefficient of determination ...
S.No Algorithm Name Notation Dataset Prediction Properties Year Waste Material Used References 16 Adaptive neuro fuzzy inference system ANFIS with ANN 7 Compressive strength 2020 POFA [73] Compressive ...
doi:10.3390/polym14010030
pmid:35012050
pmcid:PMC8747322
fatcat:zrqfyszeqrhkxoanyg4om7jzmi
Towards increased intelligence and automatic improvement in industrial vision systems
2018
Procedia CIRP
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Based on the study, the paper further describes a method for systematic improvement of industrial vision systems on a continuous basis. ...
This paper presents a comprehensive case study of vision system functions, techniques and capabilities in an automotive 1-tiers supplier. ...
In the context of automated visual inspection, applications of ML include, but not limited to SVMs, principal component analysis, decision trees, random forests, adaptive boosting, ANNs, and neuro-fuzzy ...
doi:10.1016/j.procir.2017.12.209
fatcat:44kzyiim2fcyjllfzqw7izzlua
Bending angle prediction and control of soft pneumatic actuators with embedded flex sensors – A data-driven approach
2018
Mechatronics (Oxford)
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Furthermore, the derived empirical model was used as part of a closed-loop PID controller to estimate and control the bending angle of the tested SPA based on the real-time sensory feedback generated. ...
Bending angle prediction and control of soft pneumatic actuators with embedded flex sensors -a data-driven approach. Mechatronics, https://doi. ...
The support of which is gratefully acknowledged. ...
doi:10.1016/j.mechatronics.2017.10.005
fatcat:ztk3to4ztbaetelthiibxrajne
The neural control of limb movement
1992
IEEE Control Systems
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Though our knowledge and understanding about motor neuron diseases and neuro-degeneration disorders are limited, yet efforts have been made to overcome or improve the present state of these disorders either ...
Researchers are regularly improving existing devices for ease of use and efficiency, and new ones are being developed such that it can mimic the maneuverability of the natural limb. ...
The movement of passive prosthetic joints relies on the effects of ground reaction forces and on the properties of the mechanical components, such as hydraulic and pneumatic valves, or sliding joints. ...
doi:10.1109/37.168814
fatcat:pwdrjhfvvfce7jdtzipqiqccuq
Automation of a portable extracorporeal circulatory support system with adaptive fuzzy controllers
2014
Medical Engineering and Physics
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Several simulations are presented showing the performance of the fuzzy controller with the proposed adaptive mechanism. ...
Fuzzy logic was considered as a control mechanism allowing the easy creation of rules based on the knowledge of trained perfusionists. ...
Another example of adaptive fuzzy control was shown by Nauck et al. [83, 111] They presented a neuro-fuzzy controller called NEFCON, it is based on a generic fuzzy perceptron. ...
doi:10.1016/j.medengphy.2014.04.009
pmid:24894032
fatcat:calbip2henezhow2a36zb5xpum
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