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What is Scaled Conjugate gradient Algortihm?

Nonlinear conjugate gradient method

Conjugate gradient method

Gradient method

Convergence (economics)

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The scaled conjugate gradient (SCG) algorithm is a method used for calibration of sensors with nonlinear input-output characteristics. It is particularly useful in industrial applications where sensor calibration is crucial. The SCG algorithm utilizes an artificial neural network in an inverse model learning mode to achieve precise calibration. This technique has been successfully applied to calibrate gas concentration sensors, force sensors, and humidity sensors, providing fast, robust, and satisfactory results . The SCG algorithm is known for its efficiency in solving large-scale optimization problems without requiring the second derivative. It has been widely used in various fields such as neural networks and image restoration . Additionally, the SCG algorithm has been applied in Bayesian computation for accelerating the computation in large-scale problems, specifically in sparse regression and spatial analysis .

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Open access•Journal Article•DOI A Modified Liu and Storey Conjugate Gradient Method for Large Scale Unconstrained Optimization Problems Zabidin Salleh, Ghaliah Alhamzi, Ibitsam Masmali, Ahmad Alhawarat - Show less +3 more 28 Jul 2021-Algorithms 5 Citations	The provided paper does not mention the Scaled Conjugate Gradient Algorithm.
Open access•Journal Article•DOI Scaled conjugate gradient ANN for industrial sensors calibration Karam Mazin Zeki Othman, Abdulkreem Mohammed Salih - Show less +1 more 01 Apr 2021-Bulletin of Electrical Engineering and Informatics 2 Citations	The paper does not provide information about the Scaled Conjugate Gradient algorithm.
Open access•Journal Article•DOI Conjugated Gradient with Four Terms for Nonlinear Unconstrained Optimization Ahmed Mustafa 01 Mar 2022-General letters in mathematics	The provided paper does not mention the Scaled Conjugate Gradient Algorithm.

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