|
|
|
Peizhen Zhang, Xiaofeng Yin, Bin Wang and Ziyi Feng
The construction of wind farm pilings, submarine pipelines, and underwater submarines involves multiple cylinders. However, there is currently a lack of economic research on predicting the mechanism and characteristics of mutual coupling of acoustic scat...
ver más
|
|
|
|
|
|
Katayoon Kiany, Abolfazl Baghbani, Hossam Abuel-Naga, Hasan Baghbani, Mahyar Arabani and Mohammad Mahdi Shalchian
This study examines the potential of the soft computing technique, namely, multiple linear regression (MLR), genetic programming (GP), classification and regression trees (CART) and GA-ENN (genetic algorithm-emotional neuron network), to predict the ulti...
ver más
|
|
|
|
|
|
Ning Wang, Buhao Zhang, Jian Gu, Huahua Kong, Song Hu and Shengchao Lu
The road traffic state is usually analyzed from a temporal and macroscopic perspective; however, traffic flow parameters, such as density and spacing, can explain the evolution of traffic states from the microscopic perspective and the spatial distributi...
ver más
|
|
|
|
|
|
Yuhui Zhang and Yuanyuan Zhao
This paper is centered around the theoretical, experimental, and simulation analysis of safe passage redundancy and the mechanical deformation of the taxiway bridge under the fatigue accumulation state, and we define the redundancy as the remaining times...
ver más
|
|
|
|
|
|
Mandi Liu, Lei Zhang and Qi Yue
Since machine learning is applied in medicine, more and more medical data for prediction has been produced by monitoring patients, such as symptoms information of diabetes. This paper establishes a frame called the Diabetes Medication Bayes Matrix (DTBM)...
ver más
|
|
|