过去一年中添加的文章，按日期排序
Data-driven solutions and parameter discovery of the extended higher-order nonlinear Schrödinger equation in optical fibers
Y Zhang, X Lü - Physica D: Nonlinear Phenomena, 2024 - Elsevier
13 天前 - … In the optical fiber sensors, the sensitivity and resolution of … -informed neural networks
yield lower prediction errors with … This approach reduces prediction errors with less data, …
yield lower prediction errors with … This approach reduces prediction errors with less data, …
3D-CNN Detection of Systemic Symptoms Induced by Different Potexvirus Infections in Four Nicotiana benthamiana Genotypes Using Leaf Hyperspectral Imaging
21 天前 - … capabilities of 3D Convolutional Neural Networks in early/pre-… a short growth period
and high susceptibility to viruses. The … identifying and removing errors and inconsistencies …
and high susceptibility to viruses. The … identifying and removing errors and inconsistencies …
Real-time temperature control in rubber extrusion lines: a neural network approach
M Lukas, S Leineweber, B Reitz… - The International Journal of …, 2024 - Springer
21 天前 - … ’s sensitivity to fluctuating parameters like compound … -time control system using
artificial neural networks (ANNs) for … error (MAPE) of 0.68% and a mean squared error (MSE) of …
artificial neural networks (ANNs) for … error (MAPE) of 0.68% and a mean squared error (MSE) of …
Multistability and synchronicity of memristor coupled adaptive synaptic neuronal network
28 天前 - … and the riddled-like basins of attraction sensitive to initial … the normalized average
synchronization error method, we … oscillation circuits and artificial neuronal networks [6,7]. The …
synchronization error method, we … oscillation circuits and artificial neuronal networks [6,7]. The …
A study on diversion behavior in weaving segments: Individualized traffic conflict prediction and causal mechanism analysis
R Yuan, M Abdel-Aty, Q Xiang - Accident Analysis & Prevention, 2024 - Elsevier
36 天前 - … Sensitivity analysis indicates that incorporating the diversion … solutions to reduce
unsafe diversion behavior. … To mitigate the impact of errors, this study proposes a method that …
unsafe diversion behavior. … To mitigate the impact of errors, this study proposes a method that …
Predictions of Viral-Immunotherapy Glioblastoma Patient Response and Progression using Deep Neural Networks Reveal Novel Biomarkers for Targeted Therapy
K Malhotra - Available at SSRN 4854377, 2024 - papers.ssrn.com
53 天前 - … learning approach, an autoencoder neural network was … patients as resistant or
sensitive to the PVSRIPO treatment, … on a genomic scale, ensuring no errors from imaging. In …
sensitive to the PVSRIPO treatment, … on a genomic scale, ensuring no errors from imaging. In …
Climate Optimization in Greenhouses Using the NARMA-L2 Model: An Advanced Integration of Environmental Variables
MF Molina, S Marrero - Fusion: Practice and Applications, 2024 - americaspg.com
54 天前 - … and sensitive ranges. The control system being investigated employs NARMA-L2
neural networks that … The observed errors consistently remain below 5% and any instances of …
neural networks that … The observed errors consistently remain below 5% and any instances of …
Pore Water Pressure Prediction Based on Machine Learning Methods—Application to an Earth Dam Case
54 天前 - … ) and the lowest mean square error (MSE = 0.0087) metrics. A sensitivity analysis is
then … This research marks the initial effort to use diverse static and dynamic neural networks …
then … This research marks the initial effort to use diverse static and dynamic neural networks …
Enhancing tribological performance of hybrid fiber-reinforced composites through machine learning and response surface methodology
S Sathiyamurthy, S Saravanakumar… - Journal of Reinforced …, 2024 - journals.sagepub.com
57 天前 - … correlations, highlighting the sensitivity of SWR to NaOH … techniques, specifically
Artificial Neural Networks (ANNs), … involves utilizing the mean absolute error (MAE) as the …
Artificial Neural Networks (ANNs), … involves utilizing the mean absolute error (MAE) as the …
[引用][C] The effect of anthropometric parameters on the seat transmissibility during whole-body vibration: a hybrid modeling approach based on artificial neural networks …
X Zhang, X Wang, S Lin, Y Miao - Journal of Mechanics in Medicine …, 2024 - World Scientific
61 天前 - … modeling approach based on artificial neural networks and … The results indicated
root mean square error values for … The sensitivity analysis showed that the subject’s age was …
root mean square error values for … The sensitivity analysis showed that the subject’s age was …