Training neural networks with (MLFN) multiple hidden layers with feed-forward type for regression or classification.

End Point Detection

Using Fundamental Frequency to play twinkle twinkle little star

Tuning the hidden layers parameters for a deep neural network with the type of feed forward based Extreme learning machine is discussed

Solution and analysis of a simple Matlab puzzle that leads to interesting insight on Matlab's parser.

This toolbox represents the MATLAB Installer Add-On for the NXP Vision Toolbox for S32V234

MATLAB and Simulink utilities for vehicle kinematics, visualization, and sensor simulation.

Fully vectorized method to plot voxels in an indexed 3d data array

This model simualtes the newton craddle with simscape multibody contact forces library.

Runge-Kutta 8th order numerical integration method

Jiro's Pick this week is MATLAB Grader Test Generator by Robin T. Bye.MATLAB Grader is a web service product available for our academic customers. It's an auto-grading system for MATLAB problems. Professors can author MATLAB problems and invite students to…

the function returns a fully trained auto-encoder based ELM

SMC controller with quadratic minimization, adaptive functionalities and integral action for reference tracking.

Illustration of the ReGUI (Responsive GUI) approach to creating applications.

Let you evaluate the image segmentation quality scores, such TP, FP, TN, FN, Accuracy, Sensitivity, Precision, MCC, Dice, Jaccard

contrastive divergence for training an RBM is presented in details.

Tools for imaging photoplythysmogram extraction and processing

KPCA for dimensionality reduction, feature extraction, fault detection, and fault diagnosis.

A Matlab to CST Interface

MATLABによる画像処理・コンピュータービジョンの機能紹介スライドとデモファイル