Systems Engineering Neural Networks

3Engineering Neural Networks

In practice, the aim of artificial intelligence (AI) is to make machines capable of performing tasks, which require intelligence as handled by a human. AI based prediction models have a significant potential for solving complex environmental applications that include large amounts of independent parameters and nonlinear relationships. Because of their predictive capabilities and nonlinear characteristics, several AI based modelling techniques, such as artificial neural networks, fuzzy logic and adaptive neuro fuzzy inference systems have recently been conducted in the modelling of various real-life processes […]

Frédéric Magoulès and Hai Xiang Zhao, Data Mining and Machine Learning in Building Energy Analysis

In the previous chapters, we have mentioned numerous times the possibility of applying computing methods to our everyday life, be it professional or private. We have also seen how a systematic and systemic approach enables the interpretation of reality and such an approach can result in reliable evaluations. We have specifically investigated the use of neural networks to leverage in the decision-making process and defined the main characteristics of a computational algorithm. We now need to put these applications into context – integrating them in a system and trying to understand how a mathematical approach can regulate the system itself. To support this task, we will use a discipline that was born in the last century and is called systems ...