GitHub

kevilkhadka/ML-Multiclass_Classification_and_Neural_Network-MATLAB

[⋆] oneVsAll.m - Train a one-vs-all multi-class classifier [⋆] predictOneVsAll.m - Predict using a one-vs-all multi-class classifier For this part, we will use logistic regression and neural networks ...
GitHub

MATLAB Bayesian Optimized Neural Network for Gain Coefficient Estimation in Laser Amplifier

These are the primary codes for the forthcoming research titled "Enhancing Machine Learning Training for Gain Coefficient Estimation in Optical Fiber Amplifiers using Bayesian Optimization," which ...
Scientific Research Publishing

S. N. Sivanandam, S. Sumathi and S. N. Deepa, “Introduction to Neural Network Using MATLAB 6.0,” 2nd Edition, Tata Mc-Graw Hill Publication, Boston, 2008.

ABSTRACT: An image consists of large data and requires more space in the memory. The large data results in more transmission time from transmitter to receiver. The time consumption can be reduced by ...
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 ...
IEEE

Modified ResNet-50 for Training the Neural Network in Pothole Detection using Deep Learning in Matlab

Abstract: The detection of potholes in asphalt has been a concern in the field of deep learning to identify patterns with the best possible accuracy. In the smart city concept, autonomous cars are ...