Results 101 to 110 of about 66,774 (311)
Material procedure quality forecast based on genetic BP neural network
, 2017 Material procedure quality forecast plays an important role in quality control. This paper proposes a prediction model based on genetic algorithm (GA) and back propagation (BP) neural network.
Bao-Hua Zheng
core +1 more source
Advanced Science, EarlyView.Whole‐genome analysis of 1,054 chickens reveals three ancestral sources (NWC, SYA, and SHF) with distinct temporal entry patterns into the Tibetan Plateau. Route‐specific selection scans, calibrated against a demographic null, suggest complementary functional enrichments—vascular homeostasis (NWC), calcium signaling and cardiac adaptation (SYA), and ...
Zongyi Zhao +7 more
wiley +1 more source
Energies, 2019 With the aim of improving the shortcomings of the traditional single hidden layer back propagation (BP) neural network structure and learning algorithm, this paper proposes a centrifugal pump performance prediction method based on the combination of the ...
Wei Han +5 more
doaj +1 more source
Advanced Science, EarlyView.An orthogonal ionic‐liquid extraction (Orth‐iEA) enables selective isolation of amyloid fibrils. TMGBF4 disrupts hydrogen‐bonded β‐sheet networks to solubilize amyloid aggregates, whereas C12ImCl interacts with hydrophobic regions of non‐amyloid proteins.
Shiying Zheng +10 more
wiley +1 more source
Predicting Yarn Unevenness Using Improved BP Neural Network
, 2011 The objective of this research is to predict yarn unevenness. The model of predicting yarn unevenness is built based on improved BP neural network. The improved BP neural networks are trained with HVI test results of cotton and USTER TENSOJET 5-S400 test
Hui Jun Li, Xin Hou Wang
core +1 more source
Advanced Science, EarlyView.Glioblastoma (GBM) exhibits RFX7 silencing via promoter hypermethylation, which downregulates PIK3IP1 to activate PI3K/AKT signaling, increase lactate accumulation, and enhance histone H4K12 lactylation. This lactylation upregulates PD‐L1/CSF1 expression and drives the immunosuppressive microenvironment formation.
Liying Han +20 more
wiley +1 more source
Slagging Process Simulation Based on Improved BP Neural Network
, 2010 The slagging process in high temperature furnace smelting technology was simulated by improved BP neural network. According to the actual production condition, the improved algorithm was applied to determine the optimized neural network structure as 3-5 ...
Ruo Yu Zhou, Xiao Feng Li, Zong Xin Liu
core +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Advanced Science, EarlyView.Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Application of Neural Network in RailwayVehicle Gearbox Fault Diagnosis System
机车电传动, 2014 BP neural networks technology was applied to the fault diagnosis of railway vehicle gearbox, and BP neural networksdiagnose model was created.
QI Zhen-guo, HOU Xiu-juan
doaj
Neural networks based recognition of 3D freeform surface from 2D sketch
, 2005 In this paper, the Back Propagation (BP) network and Radial Basis Function (RBF) neural network are employed to recognize and reconstruct 3D freeform surface from 2D freehand sketch.
Wright, David +8 more
core +1 more source