Manuscript Number : CSEIT183594
ANN Approach for Error Optimization in Process Synchronization Using Back-Propagation Algorithm
Authors(2) :-Sayma Bano, Neelendra Badal The work includes in this paper is inspired from the convolution involved for solving the problems by a neural network. The aspiration of this paper is to demonstrate the minimization of error for problem-solving techniques, like process synchronization, Classification etc. The work includes three Artificial Neural Network Algorithms i.e., Feed-forward, Back-propagation and Output-Hidden Weight Optimization. Optimization is being achieved with the minimized error rate for the problem-solving using neural system approach.
Sayma Bano Back-propagation Error Methodology, Optimization, Synchronization Publication Details Published in : Volume 3 | Issue 5 | May-June 2018 Article Preview
Department of Computer Science & Engineering, Kamla Nehru Institute of Technology, Sultanpur, Uttar Pradesh, India
Neelendra Badal
Department of Computer Science & Engineering, Kamla Nehru Institute of Technology, Sultanpur, Uttar Pradesh, India
Date of Publication : 2018-06-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 477-485
Manuscript Number : CSEIT183594
Publisher : Technoscience Academy