This article presents an extensive study and demonstration of efficient electrothermal large-signal GaN HEMT modeling approaches based on combined techniques Genetic Algorithm (GA) with Artificial Neural Networks (ANN), Particle Swarm optimization (PSO) Support Vector Regression (SVR). Another promising Gaussian Process (GPR) approach is also explored presented. The GA-ANN addresses the typical...

As computer technology gets better, higher education and teaching work are becoming more dependent on the score management system. The performance system has a substantial amount of student curriculum data, how to effectively analyze these data improve quality school is problem worthy in-depth study. This study integrates genetic algorithm neural network basis BP create GA-BP hybrid that addres...

Machine learning is of great value for the situation analysis and scientific prevention control soil heavy metal pollution risk. In this paper, taking selenium rich area as research object, improved Genetic Algorithm (GA)–Back Propagation (BP) algorithm was used to construct risk assessment model Cd in area. Firstly, content Se study statistically analyzed based on descriptive statistics correl...

As a major province of energy consumption and carbon emission, Jiangsu Province is also the construction industry, which key region potential area for emission reduction in China. The research prediction industry great significance development low-carbon policies other cities. purpose this paper to study influencing factors whole life cycle emissions buildings Province, predict based on main fa...

The study established a BP neural network prediction model to test the effect of the application to predict the food safety Index. The GA was used to optimize the weights and thresholds of BP neural network. The theoretical analysis and experimental results prove that the BP neural network prediction is feasible for the food safety Index. The index prediction has some value in the field of food...

In the procedure of polyvinyl alcohol production, it is hardly accurate measuring the Vinyl Acetate (VAC) polymerization rate. To solve this awkward situation, this paper adopt Genetic Algorithm-Back Propagation (GA-BP) Neural Network to fit the nonlinear relation of the variables which derives from the production process by setting the VAC polymerization rate as the master variable and the ini...

Coal and gas outburst is a very complex phenomenon of dynamic disaster in coal mine. There exists a complex non-linear mapping relationship which could not be described with functions between outburst risk and its influential factors. Due to the originality and superiority of artificial neural network (ANN) for modeling and imitating non-linear problems, an ANN model for prediction of outburst ...

Pneumatic Artificial Muscle (PAM) actuator has been widely used in medical and rehabilitation robots, owing to its high power-to-weight ratio and inherent safety characteristics. However, the PAM exhibits highly non-linear and time variant behavior, due to compressibility of air, use of elastic-viscous material as core tube and pantographic motion of the PAM outer sheath. It is difficult to obt...

Establishing a reasonable and efficient compulsory education balance index system is very important to boost the all-around of development, then realize course recommendation for students with different attributes. Based on this, research aimed at problems in college English evaluation, establish MOOC evaluation based improved neural network algorithm. The first constructed data elements, estab...