AIMC Topic:
Computer Simulation

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Asymptotic Tracking Control for Uncertain MIMO Systems: A Biologically Inspired ESN Approach.

IEEE transactions on neural networks and learning systems May 2, 2022
In this study, a biologically inspired echo state network (ESN)-based method is established for the asymptotic tracking control of a class of uncertain multi-input multi-output (MIMO) systems. By mimicking the characters of real biological systems, a...
Neural Networks, Computer Nonlinear Dynamics Uncertainty Feedback Computer Simulation
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An Approach to Intelligent Fault Diagnosis of Cryocooler Using Time-Frequency Image and CNN.

Computational intelligence and neuroscience May 2, 2022
Cryocooler plays an essential role in the field of infrared remote sensing. Linear compressor, as the power component of the cryocooler, will directly affect the normal operation and performance of the detector if there is a fault. Therefore, the int...
Intelligence Algorithms Neural Networks, Computer Wavelet Analysis Computer Simulation
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In silico prediction of potential drug-induced nephrotoxicity with machine learning methods.

Journal of applied toxicology : JAT Apr 29, 2022
In recent years, drug-induced nephrotoxicity has been one of the main reasons for the failure of drug development. Early prediction of the nephrotoxicity for drug candidates is critical to the success of clinical trials. Therefore, it is very importa...
Drug-Related Side Effects and Adverse Reactions Algorithms Support Vector Machine Drug Discovery Computer Simulation Machine Learning Humans
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Research on the Effectiveness of Probabilistic Stochastic Convolution Neural Network Algorithm in Physical Education Teaching Evaluation.

Computational intelligence and neuroscience Apr 27, 2022
In practice, PE teaching evaluation based on probabilistic convolutional neural network still faces some practical problems. At present, the existing research mainly focuses on how to improve the accuracy of PE (physical education) teaching evaluatio...
Computer Simulation Neural Networks, Computer Physical Education and Training Algorithms
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Tomek Link and SMOTE Approaches for Machine Fault Classification with an Imbalanced Dataset.

Sensors (Basel, Switzerland) Apr 23, 2022
Data-driven methods have prominently featured in the progressive research and development of modern condition monitoring systems for electrical machines. These methods have the advantage of simplicity when it comes to the implementation of effective ...
Support Vector Machine Bayes Theorem Cluster Analysis Computer Simulation
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Multihydrophone Fusion Network for Modulation Recognition.

Sensors (Basel, Switzerland) Apr 22, 2022
Deep learning (DL)-based modulation recognition methods of underwater acoustic communication signals are mostly applied to a single hydrophone reception scenario. In this paper, we propose a novel end-to-end multihydrophone fusion network (MHFNet) fo...
Recognition, Psychology Computer Simulation Neural Networks, Computer Communication Acoustics
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Methods for numerical simulation of knit based morphable structures: knitmorphs.

Scientific reports Apr 22, 2022
Shape morphing behavior has applications in many fields such as soft robotics, actuators and sensors, solar cells, tight packaging, flexible electronics, and biomedicine. The most common approach to achieve shape morphing structures is through shape ...
Electronics Hydrogels Robotics Computer Simulation Finite Element Analysis
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An Intelligent Optimization for Building Design Based on BP Neural Network and SPEA-II Multiobjective Algorithm.

Computational intelligence and neuroscience Apr 22, 2022
With the continuous development of the field of building optimization, more and more optimization methods have sprung up, among which there are many kinds of intelligent optimization algorithms. This kind of intelligent optimization algorithm usually...
Algorithms Computer Simulation Neural Networks, Computer Engineering Intelligence
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Compound FAT-based prespecified performance learning control of robotic manipulators with actuator dynamics.

ISA transactions Apr 21, 2022
In the framework of the backstepping algorithm, this article proposes a new function approximation technique (FAT)-based compound learning control law for electrically-driven robotic manipulators with output constraint. The Fourier series expansion i...
Computer Simulation Robotics Nonlinear Dynamics Algorithms Neural Networks, Computer
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Developed multiple-layer perceptron neural network based on developed search and rescue optimizer to predict iron ore price volatility: A case study.

ISA transactions Apr 21, 2022
In economic investment, the role of forecasting is very important because in an economic project, the investor must carefully examine the dimensions of the work such that one of the most important and perhaps the main factor of a future investor and ...
Iron Rescue Work Computer Simulation Neural Networks, Computer Forecasting Algorithms
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