This study proposes a novel method for designing prosthetic heart valves (PHVs) by combining machine learning (ML) with optimization algorithms. This approach aims to overcome the limitations of ...

Abstract: Application of the genetic algorithm (GA) for optimization of artificial neural network (ANN) based CT saturation detector is presented. To determine the most suitable ANN topology for the ...

Abstract: With the background of coke oven heating control system, a genetic algorithm based CMAC (Cerebellar Model Articulation Controller) and PID compound control method is presented to control the ...

Heat transfer, encompassing conduction, convection, and radiation, is a fundamental physical process critical to engineering, environmental science, and materials development. Modeling heat transfer ...

College of Aircraft Engineering, Nanchang Hangkong University, Nanchang, China. Since time immemorial, achieving high performance, structural lightweight, and cost-effectiveness of aircraft has been a ...

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...

The fault diagnosis of the inverter is fundamental to energy intelligence. Due to the complex characteristics of the inverter (e.g., high-dimensional decision and poor stability), it is challenging to ...

Solar energy serves as a great alternative to fossil fuels as they are clean and renewable energy. Accurate solar radiation (SR) prediction can substantially lower down the impact cost pertaining to ...

In view of the dynamics of the dam safety monitoring data, the sensitivity to time and space, and the nonlinearity, it has been proposed to use the firefly algorithm to search to determine the delay ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Nowadays, technologies involving nanoparticles, colloids, sensors, and artificial ...

Sustained changes in mood or action require persistent changes in neural activity, but it has been difficult to identify the neural circuit mechanisms that underlie persistent activity and contribute ...