AIMC Topic: Computer Simulation

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Distributed k-winners-take-all via multiple neural networks with inertia.

Neural networks : the official journal of the International Neural Network Society Apr 12, 2022
This paper is dedicated to solving the k-winners-take-all problem with large-scale input signals in a distributed manner. According to the decomposition of global input signals, a novel dynamical system consisting of multiple coordinated neural netwo...
Neural Networks, Computer Algorithms Computer Simulation
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Generation of Human Micro-Doppler Signature Based on Layer-Reduced Deep Convolutional Generative Adversarial Network.

Computational intelligence and neuroscience Apr 12, 2022
Human activity recognition (HAR) using radar micro-Doppler has attracted the attention of researchers in the last decade. Using radar for human activity recognition has been very practical because of its unique advantages. There are several classifie...
Humans Neural Networks, Computer Computer Simulation Radar
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Can a computer "learn" nonlinear chromatography?: Physics-based deep neural networks for simulation and optimization of chromatographic processes.

Journal of chromatography. A Apr 9, 2022
The design and optimization of chromatographic processes is essential for enabling efficient separations. To this end, hyperbolic partial differential equations (PDEs) along with nonlinear adsorption isotherms must be solved using computationally exp...
Neural Networks, Computer Computers Computer Simulation Adsorption Chromatography Physics
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Multimedia Security Situation Prediction Based on Optimization of Radial Basis Function Neural Network Algorithm.

Computational intelligence and neuroscience Apr 8, 2022
Aiming at the problem of prediction accuracy in network situation awareness, a network security situation prediction method based on a generalized radial basis function (RBF) neural network is proposed. This method uses the K-means clustering algorit...
Neural Networks, Computer Algorithms Computer Simulation Least-Squares Analysis Multimedia
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A general framework of nonparametric feature selection in high-dimensional data.

Biometrics Apr 7, 2022
Nonparametric feature selection for high-dimensional data is an important and challenging problem in the fields of statistics and machine learning. Most of the existing methods for feature selection focus on parametric or additive models which may su...
Machine Learning Algorithms Computer Simulation
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Multi-fidelity information fusion with concatenated neural networks.

Scientific reports Apr 7, 2022
Recently, computational modeling has shifted towards the use of statistical inference, deep learning, and other data-driven modeling frameworks. Although this shift in modeling holds promise in many applications like design optimization and real-time...
Neural Networks, Computer Machine Learning Computer Simulation Hydrodynamics Physics
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3D-SLIP model based dynamic stability strategy for legged robots with impact disturbance rejection.

Scientific reports Apr 7, 2022
Inspired by biomechanical studies, the spring-loaded inverted pendulum model is an effective behavior model to describe the running movement of animals and legged robots in the sagittal plane. However, when confronted with external lateral disturbanc...
Computer Simulation Biomechanical Phenomena Animals Robotics Models, Biological Locomotion Orientation, Spatial
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Nonsynchronized State Estimation for Fuzzy Markov Jump Affine Systems With Switching Region Partitions.

IEEE transactions on cybernetics Apr 5, 2022
This article investigates the state estimation issue of discrete-time Takagi-Sugeno fuzzy Markov jump affine systems that cover both traditional fuzzy Markov jump systems and fuzzy affine systems as two special cases. The original system is transform...
Algorithms Computer Simulation Fuzzy Logic Models, Statistical
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Distributed Adaptive Consensus of Nonlinear Heterogeneous Agents With Delayed and Sampled Neighbor Measurements.

IEEE transactions on cybernetics Apr 5, 2022
In this article, the adaptive output consensus problem of high-order nonlinear heterogeneous agents is addressed using only delayed, sampled neighbor output measurements. A class of auxiliary variables is introduced which are n -times differentiable ...
Neural Networks, Computer Computer Simulation Feedback Consensus Nonlinear Dynamics
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Removing Feasibility Conditions on Adaptive Neural Tracking Control of Nonlinear Time-Delay Systems With Time-Varying Powers, Input, and Full-State Constraints.

IEEE transactions on cybernetics Apr 5, 2022
This article investigates the tracking control for input and full-state-constrained nonlinear time-delay systems with unknown time-varying powers, whose nonlinearities do not impose any growth assumption. By utilizing the auxiliary control signal and...
Neural Networks, Computer Research Design Computer Simulation Feasibility Studies Nonlinear Dynamics
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