Tohru Suwa

TL;DR: Two methodologies utilizing artificial neural networks (ANNs) to predict global horizontal irradiance in 1 to 5 minutes in advance from sky images are proposed, able to capture the trends of fluctuating solar irradiance with minor discrepancies.

TL;DR: In this article, an artificial neural network (ANN) is combined with the principle of superposition to predict the exit temperature rise caused by a single heat flux pulse in the first step of the proposed methodology, while superposition is used to predict from multiple heat flux pulses in the second step.

TL;DR: In this article, a multidisciplinary placement optimization methodology for heat generating electronic components on a printed circuit board (PCB) subjected to forced convection in an enclosure is presented, which consists of a combination of artificial neural networks and a superposition method that is able to predict PCB surface and component junction temperatures in a much shorter calculation time than the existing numerical methods.

TL;DR: In this article, a new multidisciplinary design and optimization methodology in electronics packaging is presented to improve the electronic package design process by performing multi-disciplinary design at an early design stage.

TL;DR: A state-of-the-art review of recent multidisciplinary design and optimization methodologies in electronics packaging is presented and methodologies using detailed numerical analysis models directly connected to optimization algorithms, and artificial neural networks have been proposed as new trends.