AIMC Topic:
Computer Simulation

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Event-triggered integral reinforcement learning for nonzero-sum games with asymmetric input saturation.

Neural networks : the official journal of the International Neural Network Society Apr 21, 2022
In this paper, an event-triggered integral reinforcement learning (IRL) algorithm is developed for the nonzero-sum game problem with asymmetric input saturation. First, for each player, a novel non-quadratic value function with a discount factor is d...
Neural Networks, Computer Algorithms Computer Simulation Feedback Nonlinear Dynamics
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Optimistic reinforcement learning by forward Kullback-Leibler divergence optimization.

Neural networks : the official journal of the International Neural Network Society Apr 21, 2022
This paper addresses a new interpretation of the traditional optimization method in reinforcement learning (RL) as optimization problems using reverse Kullback-Leibler (KL) divergence, and derives a new optimization method using forward KL divergence...
Algorithms Computer Simulation Robotics Reinforcement, Psychology Uncertainty
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Multistability analysis of delayed recurrent neural networks with a class of piecewise nonlinear activation functions.

Neural networks : the official journal of the International Neural Network Society Apr 21, 2022
This paper studies the multistability of delayed recurrent neural networks (DRNNs) with a class of piecewise nonlinear activation functions. The coexistence as well as the stability of multiple equilibrium points (EPs) of DRNNs are proved. With the B...
Neural Networks, Computer Algorithms Computer Simulation Time Factors Neurons
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Closing the Control Loop with Time-Variant Embedded Soft Sensors and Recurrent Neural Networks.

Soft robotics Apr 19, 2022
Embedded soft sensors can significantly impact the design and control of soft-bodied robots. Although there have been considerable advances in technology behind these novel sensing materials, their application in real-world tasks, especially in close...
Neural Networks, Computer Machine Learning Computer Simulation Feedback
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Real-Time Sonar Fusion for Layered Navigation Controller.

Sensors (Basel, Switzerland) Apr 19, 2022
Navigation in varied and dynamic indoor environments remains a complex task for autonomous mobile platforms. Especially when conditions worsen, typical sensor modalities may fail to operate optimally and subsequently provide inapt input for safe navi...
Algorithms Computer Simulation Robotics Sound
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Assessment for Different Neural Networks with FeatureSelection in Classification Issue.

Sensors (Basel, Switzerland) Apr 18, 2022
In general, the investigation of NN (neural network) computing systems requires the management of a significant number of simultaneous distinct algorithms, such as parallel computing, fault tolerance, classification, and data optimization. Supervised...
Neural Networks, Computer Algorithms Computer Simulation
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Improved Artificial Neural Network with State Order Dataset Estimation for Brain Cancer Cell Diagnosis.

BioMed research international Apr 16, 2022
Brain cancer is one of the cell synthesis diseases. Brain cancer cells are analyzed for patient diagnosis. Due to this composite cell, the conceptual classifications differ from each and every brain cancer investigation. In the gene test, patient pro...
Humans Neural Networks, Computer Algorithms Computer Simulation Brain Neoplasms Support Vector Machine
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Deep Learning Based Centerline-Aggregated Aortic Hemodynamics: An Efficient Alternative to Numerical Modeling of Hemodynamics.

IEEE journal of biomedical and health informatics Apr 14, 2022
Image-based patient-specific modelling of hemodynamics are gaining increased popularity as a diagnosis and outcome prediction solution for a variety of cardiovascular diseases. While their potential to improve diagnostic capabilities and thereby clin...
Humans Computer Simulation Hemodynamics Deep Learning Aorta Models, Cardiovascular Patient-Specific Modeling
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Neural Networks Application for the Data of PID Controller for Acrobot.

TheScientificWorldJournal Apr 14, 2022
Acrobots are a system that has levels of operating states in many investigated cases, and they are subjects to many events during operation due to the mechanisms of locomotion processes. These states have been investigated in specific situations. Due...
Humans Neural Networks, Computer Artificial Intelligence Algorithms Computer Simulation Models, Theoretical
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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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