Xiaoqin Zeng

Broschiertes Buch

Output Sensitivity of MLPs Derived from Statistical Expectation

Beschreibung

This book presents output sensitivity of the most popular feedforward neural network, MLPs (Multi-Layer Perceptrons), with respect to input and weight perturbations. Based on the structural features of MLPs, a bottom-up approach is proposed, in which the sensitivity of a neuron is considered first, then is that of a layer, and finally an entire network. Besides, applications of the sensitivity are also discussed.

Autor

Xiaoqin Zeng received BS degree from Nanjing University, MS degree from Southeast University and PhD degree from Hong Kong Polytechnic University. He currently is a professor, PhD student supervisor at Hohai University, has successfully taken charge of research projects awarded by National Natural Science Foundation of China, and has published research papers in some top academic Journals. His research interests include Computational Intelligence and machine learning etc.

Produktdetails

• Verlag: ¿¿¿¿¿¿¿
• Seitenzahl: 116
• Erscheinungstermin: 24. Februar 2017
• Englisch
• Abmessung: 220mm x 150mm x 7mm
• Gewicht: 191g
• ISBN-13: 9783639829891
• ISBN-10: 3639829891
• Artikelnr.: 62607696