sigmoidally Antonyms
No Synonyms and anytonyms found
Meaning of sigmoidally
Webster
sigmoidally (adv.)
In a sigmoidal manner.
sigmoidally Sentence Examples
- 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.
- The sigmoidally shaped activation function introduces non-linearity into artificial neural networks, allowing them to learn complex patterns.
- The distribution of gene expression levels in a population sigmoidally follows a bell curve, with most individuals expressing moderate levels.
- The diffusion coefficient of a gas in a liquid changes sigmoidally with temperature, reflecting the increased kinetic energy and collision probability.
- The growth curve of a bacteria colony follows a sigmoidally shaped pattern, characterized by an initial lag phase, exponential growth, and stationary phase.
- 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.
- The sigmoidally shaped magnetization curve of a ferromagnetic material describes the gradual increase in magnetization with increasing magnetic field strength.
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.