Results 41 to 50 of about 5,507,494 (254)
A study of Chinese private passenger cars based on BP neural network [PDF]
This study employs BP neural network to simulate the development of Chinese private passenger cars. Considering the uncertain and complex environment for the development of private passenger cars, indicators of economy, population, price, infrastructure,
He, Jie +9 more
core +1 more source
Ice accretion thickness prediction using flash infrared thermal imaging and BP neural networks
The present study investigated ice accretion thickness under non‐incoming flow icing conditions on the ground using an infrared thermography system that converts infrared radiation temperature.
Lu Hao +4 more
doaj +1 more source
Research on Fault Diagnosis of HMCVT Shift Hydraulic System Based on Optimized BPNN and CNN
There are some problems in the shifting process of hydraulic CVT, such as irregularity, low stability and high failure rate. In this paper, the BP neural network and convolutional neural network are used for fault diagnosis of the HMCVT hydraulic system.
Jiabo Wang +6 more
doaj +1 more source
Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA
Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley +1 more source
RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease
ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu +21 more
wiley +1 more source
During the preliminary stage of rescue for earthquake disaster, some important information needs to be provided by identifying the key demand features such as quantity, necessary degree and urgent degree for emergency goods.
Song Xiaoyu +7 more
core +1 more source
Supporting AI Readiness Through Digital Workflows in Materials Science
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns +67 more
wiley +1 more source
System of coal and gas outburst prediction based on improved BP neural network
To overcome shortcomings of slow convergence speed and falling into local minimum easily, traditional BP neural network was improved by using VLBP algorithm based on adaptive learning rate and LMBP algorithm based on numerical optimization technique in ...
WANG Sheguo +3 more
doaj +1 more source
Optimizing weights and the threshold of the BP neural network by GA is divided into two steps. The first step used genetic algorithm embedding neural network and searched the best individual in the probable scope of the weights of BP network.
Binggeng Xie (7114721), Li Wu (120770)
core +1 more source
Implantable Ionic Memristors Based on Natural Polymer Heterojunctions
We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee +6 more
wiley +1 more source

