Sensitivity Analysis for Neural Networks

• Main Authors: Yeung, Daniel S. (Author), Cloete, Ian (Author), Shi, Daming (Author), Ng, Wing W. Y. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
• Series: Natural Computing Series,
• Subjects: Computer science.; Artificial intelligence.; Computer simulation.; Pattern recognition.; Statistical physics.; Dynamical systems.; Engineering design.; Control engineering.; Robotics.; Mechatronics.; Computer Science.; Artificial Intelligence (incl. Robotics).; Control, Robotics, Mechatronics.; Statistical Physics, Dynamical Systems and Complexity.; Pattern Recognition.; Simulation and Modeling.; Engineering Design.

Artificial neural networks are used to model systems that receive inputs and produce outputs. The relationships between the inputs and outputs and the representation parameters are critical issues in the design of related engineering systems, and sensitivity analysis concerns methods for analyzing t...