5 Ergebnisse.

This book mainly shows readers how to calibrate and control robots. In this regard, it proposes three control schemes: an error-summation enhanced Newton algorithm for model predictive control, RNN for solving perturbed time-varying underdetermined linear systems, and a new joint-drift-free scheme aided with projected ZNN, which can effectively improve robot control accuracy. Moreover, the book develops four advanced algorithms for robot calib...

Latent factor analysis models are an effective type of machine learning model for addressing high-dimensional and sparse matrices, which are encountered in many big-data-related industrial applications. The performance of a latent factor analysis model relies heavily on appropriate hyper-parameters. However, most hyper-parameters are data-dependent, and using grid-search to tune these hyper-parameters is truly laborious and expensive in comput...

Keine Beschreibung.

Keine Beschreibung.

Zhu Yuqi is Chief Editor of LIterature and History of the Western Regions and Professor at Peking University.Andrew Eisenberg is author of Kingship in Early Medieval China and Professor at Northeastern Illinois University.