World Scientific
Skip main navigation

Cookies Notification

We use cookies on this site to enhance your user experience. By continuing to browse the site, you consent to the use of our cookies. Learn More
×

System Upgrade on Tue, May 28th, 2024 at 2am (EDT)

Existing users will be able to log into the site and access content. However, E-commerce and registration of new users may not be available for up to 12 hours.
For online purchase, please visit us again. Contact us at customercare@wspc.com for any enquiries.

RECURRENT QUANTUM NEURAL NETWORKS: A PARADIGM FOR SUBJECTIVE COMPUTING MODEL

    https://doi.org/10.1142/9789812701596_0017Cited by:0 (Source: Crossref)
    Abstract:

    A complete scientific theory that can integrate material objects with mental objects is capable of heralding the next stage of scientific revolution. Mental qualities such as experienced smell or taste has yet to be quantified in scientific domain. This chapter is devoted to this idea of subjective computation where mental qualities can be quantified. Schroedinger wave equation has been used in a recurrent quantum neural network framework to solve problems such as stochastic filtering, system identification and adaptive control.