sigmoidally Sentence Examples

  1. The population of the city expanded sigmoidally, following a gradual and then exponential growth pattern.
  2. The rate of enzymatic reaction increased sigmoidally with increasing substrate concentration, indicating a cooperative mechanism.
  3. The logistic curve exhibits a sigmoidally shaped curve, describing growth that accelerates initially, then plateaus.
  4. The learning curve of a neural network sigmoidally approaches an asymptotic value as the number of training iterations increases.
  5. The sigmoidally shaped activation function introduces non-linearity into artificial neural networks, allowing them to learn complex patterns.
  6. The distribution of gene expression levels in a population sigmoidally follows a bell curve, with most individuals expressing moderate levels.
  7. The diffusion coefficient of a gas in a liquid changes sigmoidally with temperature, reflecting the increased kinetic energy and collision probability.
  8. The growth curve of a bacteria colony follows a sigmoidally shaped pattern, characterized by an initial lag phase, exponential growth, and stationary phase.
  9. The relationship between the metabolic rate of an organism and its body mass exhibits a sigmoidally curved trajectory, with smaller organisms having higher metabolic rates.
  10. The sigmoidally shaped magnetization curve of a ferromagnetic material describes the gradual increase in magnetization with increasing magnetic field strength.

sigmoidally Meaning

Webster

sigmoidally (adv.)

In a sigmoidal manner.

Synonyms & Antonyms of sigmoidally

No Synonyms and anytonyms found

FAQs About the word sigmoidally

In a sigmoidal manner.

No synonyms found.

No antonyms found.

The population of the city expanded sigmoidally, following a gradual and then exponential growth pattern.

The rate of enzymatic reaction increased sigmoidally with increasing substrate concentration, indicating a cooperative mechanism.

The logistic curve exhibits a sigmoidally shaped curve, describing growth that accelerates initially, then plateaus.

The learning curve of a neural network sigmoidally approaches an asymptotic value as the number of training iterations increases.