This study proposes a multiobjective optimization design method for the bed structure of CNC gantry machine tools to enhance their mechanical performance. A sensitivity analysis was first conducted to ...

Abstract: In the frequent occurrence of complex nonlinear problems, the traditional single algorithm gradually exposes the limitations of insufficient ability in finding an efficient solution. When ...

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 ...

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 ...

Abstract: This paper uses PCA (principal component analysis) combined with bp neural network and neural network based on genetic algorithm optimization to predict ...

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 ...

Changes to the structure and function of neural networks are thought to underlie the evolutionary adaptation of animal behaviours. Among the many developmental phenomena that generate change ...

In sophisticated auditory–motor learning such as musical instrument learning, little is understood about how brain plasticity develops over time and how the related individual variability is reflected ...

1 College of Information and Communication Engineering, Al-Nahrain University, Baghdad, Iraq. 2 Al-Nahrain University, Baghdad, Iraq. Fingerprint identification and recognition are considered popular ...