GitHub

Power consumption prediction using ANN Toolbox

Choosing an appropriate ANN architecture, algorithm and transfer function is a difficult task as the best performing configuration might be different for different types of datasets, hence, training ...
Scientific Research Publishing

Demuth H., Beale M. and Hagan M. (2006). Neural network toolbox for use with MATLAB. Neural Network Toolbox, IEE Savoy Place, London.

ABSTRACT: Growth rate of Yarrowia lipolytica NCIM 3589 was observed in a fermentation medium consisting of peptone, yeast extract, sodium chloride. Logistic equation was fitted to the growth data ...
Electronic Design

MATLAB Deep Learning Toolbox Streamlines AI Development

MathWorks’ MATLAB 2018b release serves up a number of new features, including the Deep Learning Toolbox that supports development of machine-learning applications. Other new features include the 5G ...
Scientific Research Publishing

Demuth, H. and Beale, M. (2003) Neural Network Toolbox for Use with MATLAB. User Guide, the MATH WORKS Inc.

ABSTRACT: In industrial drives, electric motors are extensively utilized to impart motion control and induction motors are the most familiar drive at present due to its extensive performance ...
IEEE

Study of How to Identify Nonlinear System Based on Neural Network by MATLAB Toolbox

Abstract: Aimed at the bulky nonlinear temperature system with time-delay, a DFOPDT model is established. The relation between the classical model and the disperse model of the system is deduced. An ...
snmjournals.org

Denoising Tc-99m DMSA images with deep convolutional neural network “DnCNN” available with MATLAB Deep Learning Toolbox

Introduction: A Pre-trained deep neural network named "DnCNN" for image denoising is available with MATLAB Deep Learning Toolbox. This network is trained with natural images (such as images of tree, ...