Results 221 to 230 of about 181,909 (270)

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Study on Expansion Rate of Steel Slag Cement-Stabilized Macadam Based on BP Neural Network. [PDF]

Materials (Basel)
Wu H, Xu F, Li B, Gao Q.
europepmc   +1 more source

[A GA-BP neural network model based on spectrum-effect relationship for assessing spectrum-effect score and quality evaluation of Cassia seeds extract]. [PDF]

Nan Fang Yi Ke Da Xue Xue Bao
Yan H, Wang H, Zou C.
europepmc   +1 more source

BP neural network-based analysis of the applicability of NMF in side-step cutting. [PDF]

Heliyon
Pan Z, Liu L, Li X, Ma Y.
europepmc   +1 more source

Genetic Algorithm Optimization of BP Neural Network

Academic Journal of Computing & Information Science
openaire   +1 more source

Thickness Characterization of Steel Plate Coating Materials with Terahertz Time-Domain Reflection Spectroscopy Based on BP Neural Network. [PDF]

Sensors (Basel)
Jiang X, Xu Y, Hu H.
europepmc   +1 more source

Identification of key biomarkers for early warning of diabetic retinopathy using BP neural network algorithm and hierarchical clustering analysis. [PDF]

Sci Rep
Li P, Wang H, Tian G, Fan Z.
europepmc   +1 more source

Prediction Model of Coal Gas Permeability Based on Improved DBO Optimized BP Neural Network. [PDF]

Sensors (Basel)
Wang W, Cui X, Qi Y, Xue K, Liang R, Bai C.   +5 more
europepmc   +1 more source

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An Improved BP Neural Network Algorithm

2020 7th International Conference on Information Science and Control Engineering (ICISCE), 2020
In order to solve the problems of improper learning rate setting and low accuracy caused by over-fitting in traditional BP deep neural network, an improved BP neural network algorithm is proposed. In this algorithm, drop-out mechanism is introduced to prevent neural network from overfitting, and in order to solve the problem of improper learning rate ...
Liu Ya, Xu Zhen
openaire   +1 more source

Edge detection with BP neural networks

ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344), 2002
A new edge detection technique is proposed which makes use of a backpropagation (BP) neural network. We classify the edge patterns in binary images into 18 categories. After training on the pre-defined edge patterns, the neural network is applied to classify any type of edge into one of the 18 categories.
null Zhengquan He, M.Y. Siyal
openaire   +1 more source