Intelligent learning
Throughout this book, we have referenced AI, ML, and deep learning and their impact on smart buildings. In this section, we will discuss each of these in more detail and their expected contribution from smart buildings to unified buildings.
Figure 15.5 – Intelligent learning
- AI: AI is comprised of neural networks, deep learning, and ML, which process data to make predictions and decisions. AI can be loosely defined as machines thinking like humans.
- Artificial neural networks (ANNs): An ANN, more commonly referred to as a neural network, is modeled after the brain’s biological neurons. Here, the neurons are called nodes, and these nodes are clustered together in layers and operate in parallel. When a node receives a computerized numerical signal, it will process it, and then it signals the other neurons connected to it. This neural reinforcement creates improved recognition of patterns and expertise and enhances...
