TY  - JOUR
TI  - ANN Approach for Error Optimization in Process Synchronization Using Back-Propagation Algorithm
AU  - Sayma Bano
AU  -  Neelendra Badal
JO  - International Journal of Scientific Research in Computer Science, Engineering and Information Technology
PB  - Technoscience Academy
DA  - 2018/06/30
PY  - 2018
DO  - https://doi.org/10.32628/IJSRCSEIT
UR  - https://ijsrcseit.com/CSEIT183594
VL  - 3
IS  - 5
SP  - 477	
EP  - 485
AB  - 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.