An Interpretation of Long Short-Term Memory Recurrent Neural Network for Approximating Roots of Polynomials-Reference-Cited by-同舟云学术

An Interpretation of Long Short-Term Memory Recurrent Neural Network for Approximating Roots of Polynomials

Author:

Bukhsh Madiha¹^ORCID,Ali Muhammad Saqib²^ORCID,Ashraf Muhammad Usman³^ORCID,Alsubhi Khalid⁴^ORCID,Chen Weiqiu¹^ORCID

Affiliation:

1. Department of Engineering Mechanics, Key Laboratory of Soft Machines and Smart Devices of Zhejiang Province, Zhejiang University, Hangzhou, China

2. Department of Electrical and Computer Engineering, COMSATS University Islamabad (CUI), Islamabad, Pakistan

3. Department of Computer Science, Government College Women University, Sialkot, Sialkot, Pakistan

4. Department of Computer Science, King Abdulaziz University, Jeddah, Saudi Arabia

Funder

Deanship of Scientific Research (DSR), King Abdulaziz University, Jeddah

DSR

Project

Shenzhen Scientific and Technological Fund for Research and Development, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference33 articles.

3. Stochastic optimization methods;marti;Stochastic Optimization Methods,2015

4. A gentle tutorial of recurrent neural network with error backpropagation;chen;arXiv 1610 02583,2016

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