Evolutionary algorithms (machine learning)

Andrew Murphy ◉ and A.Prof Frank Gaillard ◉ ◈ et al.

Evolutionary algorithms are one of the main algorithms used in machine learning, emulating natural selection whereby pseudorandom changes in the algorithm are measured against selective pressures. The more successful algorithms are then used as the 'parents' of the next generation of algorithms.

Artificial intelligence

artificial intelligence (AI)
i maging data sets
computer-aided diagnosis (CAD)
machine learning (overview)
- machine learning processes
- machine learning models
common data preparation/preprocessing steps
- DICOM to bitmap conversion
- scaling
- centering
- normalization
- principal component analysis
- training, testing and validation datasets
- augmentation
- loss function
  - mean squared error
  - cross entropy
- optimization algorithms
  - stochastic gradient descent
  - momentum (Nesterov)
  - ADAM
- regularisation
  - linear and quadratic
  - batch normalization
- ensembling
  - boosting
  - bagging
- natural language processing
- rule-based expert systems
glossary

Article information

rID: 56115

Section: Artificial Intelligence

Synonyms or Alternate Spellings:

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