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nonneural

nonneural

7.9
Not using computer methods that copy the brain to learn from data
  • adjective
  • /nɒnˈnjʊrəl/
  • Specialized
translation icon : no neural
  • Comparing nonneural and neural models helps researchers understand the strengths of each method.

Examples

  • The algorithm is nonneural and relies on traditional statistical methods.

  • Some older systems still rely on nonneural approaches for language analysis.

  • The team developed a nonneural algorithm to process the data efficiently.

  • Researchers are exploring nonneural approaches to data analysis.

  • Some older systems still rely on nonneural approaches for language analysis.

  • The team developed a nonneural algorithm to process the data efficiently.

  • The algorithm is nonneural and relies on traditional statistical methods.

How Neural

neural
  • Specialized
213 4.9
hybrid
43 3.9
nonneural
  • Specialized
7.9

Surface Forms

nonneural positive

Morphology

nonneural = neural (transparent) = non + neural

The negative prefix 'non-' is added to 'neural' to indicate the absence of neural (e.g., neural-network-based) methods; the formation is regular.

Etymology

Nonneural is made from non- meaning 'not' and neural meaning 'related to nerves', the same root as the everyday word nerve. So in computing it names a method that is 'not based on neural networks', which are computer systems modelled on how the brain works.