In conjunction with the NSF Engineering Research Center for Collaborative Adaptive Sensing of the Atmosphere (CASA),the Department of Electrical and Computer Engineering at the University of Massachusetts Amherst invi...In conjunction with the NSF Engineering Research Center for Collaborative Adaptive Sensing of the Atmosphere (CASA),the Department of Electrical and Computer Engineering at the University of Massachusetts Amherst invites applications for a tenure-track position in Integrative Systems Engineering(ISE) at the Assistant Professor level to begin September 2009.展开更多
We discuss the nature of complex number and its effect on complex-valued neural networks(CVNNs).After we review some examples of CVNN applications,we look back at the mathematical history to elucidate the features of ...We discuss the nature of complex number and its effect on complex-valued neural networks(CVNNs).After we review some examples of CVNN applications,we look back at the mathematical history to elucidate the features of complex number,in particular to confirm the importance of the phaseand-amplitude viewpoint for designing and constructing CVNNs to enhance the features.This viewpoint is essential in general to deal with waves such as electromagnetic wave and lightwave.Then,we point out that,although we represent a complex number as an ordered pair of real numbers for example,we can reduce ineffective degree of freedom in learning or self-organization in CVNNs to achieve better generalization characteristics.This merit is significantly useful not only for waverelated signal processing but also for general processing with frequency-domain treatment through Fourier transform.展开更多
文摘In conjunction with the NSF Engineering Research Center for Collaborative Adaptive Sensing of the Atmosphere (CASA),the Department of Electrical and Computer Engineering at the University of Massachusetts Amherst invites applications for a tenure-track position in Integrative Systems Engineering(ISE) at the Assistant Professor level to begin September 2009.
基金supported by the Assistance Grant of the Hoso Bunka Foundation.
文摘We discuss the nature of complex number and its effect on complex-valued neural networks(CVNNs).After we review some examples of CVNN applications,we look back at the mathematical history to elucidate the features of complex number,in particular to confirm the importance of the phaseand-amplitude viewpoint for designing and constructing CVNNs to enhance the features.This viewpoint is essential in general to deal with waves such as electromagnetic wave and lightwave.Then,we point out that,although we represent a complex number as an ordered pair of real numbers for example,we can reduce ineffective degree of freedom in learning or self-organization in CVNNs to achieve better generalization characteristics.This merit is significantly useful not only for waverelated signal processing but also for general processing with frequency-domain treatment through Fourier transform.
