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Neural Network Inverse Model Control Strategy: Discrete-Time Stability Analysis for Relative Order Two Systems
Published 2014-01-01“…This paper discusses the discrete-time stability analysis of a neural network inverse model control strategy for a relative order two nonlinear system. …”
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Thermal and Electronic Conductivity in Normal and Superconducting Erbium Nickel Borocarbide (ErNi2B2C)
Published 2022-01-01“…In this work, the total electronic energy, the electronic thermal conductivity, and the heat capacity of erbium nickel borocarbide, ErNi2B2C, in the normal and superconducting states are calculated using Boltzmann transport equations (BTEs) and energy dispersion relation function. …”
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2446
Noninvasive Neurally Adjusted Ventilator Assist Ventilation in the Postoperative Period Produces Better Patient-Ventilator Synchrony but Not Comfort
Published 2020-01-01“…Background. Noninvasive neurally adjusted ventilatory assist (NAVA) has been shown to improve patient-ventilator interaction in many settings. …”
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Neural Network-Based Nonlinear Fixed-Time Adaptive Practical Tracking Control for Quadrotor Unmanned Aerial Vehicles
Published 2020-01-01“…First, by combining the radial basis function neural networks (NNs) with virtual parameter estimating algorithms, a NN adaptive control scheme is developed for UAVs. …”
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YAPAY SİNİR AĞLARI İLE BORSA ENDEKSİ TAHMİNİ - FORECASTING STOCK MARKET INDEX WITH ARTIFICIAL NEURAL NETWORKS
Published 2020-07-01Subjects: Get full text
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Construction of a neural network model for small-scale shaded relief maps constrained by topographic feature lines
Published 2025-12-01Subjects: Get full text
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Optimization the Initial Weights of Artificial Neural Networks via Genetic Algorithm Applied to Hip Bone Fracture Prediction
Published 2012-01-01“…This paper aims to find the optimal set of initial weights to enhance the accuracy of artificial neural networks (ANNs) by using genetic algorithms (GA). …”
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Assessment of Fetal Autonomic Nervous System Activity by Fetal Magnetocardiography: Comparison of Normal Pregnancy and Intrauterine Growth Restriction
Published 2011-01-01“…To clarify the developmental activity of the autonomic nervous system (ANS) of the normal fetus and intrauterine growth restriction (IUGR) cases using fetal magnetocardiography (FMCG). …”
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Icariin Promotes Survival, Proliferation, and Differentiation of Neural Stem Cells In Vitro and in a Rat Model of Alzheimer’s Disease
Published 2021-01-01“…Alzheimer’s disease (AD) involves the degeneration of cholinergic neurons in the basal forebrain. Neural stem cell (NSC) transplantation has emerged as a promising therapeutic approach for treating AD. …”
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Mass Rapid Transit System Passenger Traffic Forecast Using a Re-Sample Recurrent Neural Network
Published 2019-01-01“…In this study, we developed a model re-sample Recurrent Neural Network (RRNN) to forecast passenger traffic on Mass Rapid Transit Systems (MRT). …”
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ZooCNN: A Zero-Order Optimized Convolutional Neural Network for Pneumonia Classification Using Chest Radiographs
Published 2025-01-01Subjects: “…convolutional neural network…”
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Experimental Study on Normal Frost-Heave Force Generated from Loess upon Freezing considering Multiple Factors
Published 2019-01-01“…An experimental study on the normal frost-heave force generated by loess was conducted by subjecting loess with various water contents and densities to different temperature conditions. …”
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Neural Network and Performance Analysis for a Novel Reconfigurable Parallel Manipulator Based on the Spatial Multiloop Overconstrained Mechanism
Published 2020-01-01“…To focus on the application in the industrial area, this paper proposes a method to establish the relationship between the performance and the structural parameters by using the modified BP neural network. Based on this method, the structural parameters can be chosen by the requirements of the special task in the industrial area. …”
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Compensating Sparse-view Inline Computed Tomography Artifacts with Neural Representation and Incremental Forward-Backward Network Architecture
Published 2025-02-01“…The two methods differ in how the neural representation is optimized during training. …”
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