Significance of Ann
The below excerpts are indicatory and do represent direct quotations or translations. It is your responsibility to fact check each reference.
The concept of Ann in scientific sources
Ann, in this context, is a model development method utilizing adjustable control parameters. These parameters are fine-tuned to reduce discrepancies in noise levels, according to regional sources.
From: Sustainability Journal (MDPI)
(1) ANN, also known as Artificial Neural Network, is comprised of an input layer, an output layer, and one or more hidden layers, where the output of a node is determined by a mathematical function.[1] (2) The text discusses the importance of applying di ff erent ANNs, which are artificial neural networks, in the context of time series forecasting.[2] (3) It is the most successful method in the study, according to the line graphs, followed by SVR and logistic regression.[3] (4) Almost 83% of the reported results based on the simulation were between ± 20% of the experimental compressive strength for the ANN model.[4] (5) ANN, or Artificial Neural Network, has made considerable progress in enhancing supervised learning by enabling the representation of complex non-linear relationships among variables for various utilization techniques.[5]
From: International Journal of Environmental Research and Public Health (MDPI)
(1) ANN, or artificial neural network, is a machine learning algorithm used to construct prediction models for osteoporosis, and it is compared with other models.[6] (2) ANN is expert at solving problems but is not good at dealing with uncertainty problems, and there are some deficiencies in the explanation of the driving forces.[7] (3) Artificial Neural Networks, or ANN, are machine learning algorithms that are computationally more expensive than logistic regression but offer comparable performance in predicting patient punctuality.[8] (4) It is an implementation that was trained and tested with para-clinical data to show the importance of having these types of data in the development of a certain condition.[9] (5) It generated a more reasonable area of very high susceptibility and identified more landslides than did the other models.[10]
From: Religions Journal (MDPI)
(1) An ANN is used by Replika, and it contains fragments of other people’s thoughts and experiences embedded within it due to its machine intelligence.[11]
From: Asian Journal of Pharmaceutics
(1) This is a mathematical model used to check the nonlinear relationship between variables and the possible interaction among the variables.[12]