Artificial neural network

Cost prediction, Professional Statement, 1st edition, published in November 2020 by the Royal Institution of Chartered Surveyors (RICS), defines an artificial neural network (ANN) as: ‘A computer system that is able to simulate the learning effect of the human brain, performing tasks involving incomplete data sets, fuzzy/incomplete information and for highly complex and ill-defined problems. For example, historical data can be used to train the ANN so that it ‘learns’ to predict costs.’

The 'CIOB Artificial Intelligence (AI) Playbook 2024', glossary of terms, published by the Chartered Institute of Building (CIOB) describes artificial neural network) as 'A computer structure inspired by the biological brain, consisting of a large set of interconnected computational units (‘neurons’) that are connected in layers. Data passes between these units as between neurons in a brain. Outputs of a previous layer are used as inputs for the next, and there can be hundreds of layers of units. An artificial neural network with more than three layers is considered a deep learning algorithm. Examples of artificial neural networks include Transformers or Generative adversarial networks.'

.'

[edit] Related articles on Designing Buildings

• Advanced construction technology.
• Artificial intelligence.
• Artificial intelligence and civil engineering.
• Assisted reality aR.
• Building information modelling BIM.
• Cobots.
• Computer aided design CAD.
• Computer-generated imagery (CGI).
• Construction innovation.
• Gravity Sketch.
• Immersive Hybrid Reality IHR.
• Information for the buildings of tomorrow.
• Integrated modelling, simulation and visualisation (MSV) for sustainable built healing environments (BHEs).
• Integrated systems.
• Shaping the Future of Construction: Inspiring innovators redefine the industry.
• The rise of 5G in buildings.
• Trends towards wearables and wellbeing in buildings.
• Virtual construction model.
• Virtual reality and manufacturing.

Comments

[edit] To make a comment about this article, or to suggest changes, click 'Add a comment' above. Separate your comments from any existing comments by inserting a horizontal line.