P
Prithwineel Paul
Researcher at Southwest Jiaotong University
Publications - 22
Citations - 282
Prithwineel Paul is an academic researcher from Southwest Jiaotong University. The author has contributed to research in topics: Membrane computing & Recursively enumerable language. The author has an hindex of 5, co-authored 18 publications receiving 76 citations. Previous affiliations of Prithwineel Paul include Indian Institute of Technology Madras & Indian Statistical Institute.
Papers
More filters
Journal ArticleDOI
A Complete Arithmetic Calculator Constructed from Spiking Neural P Systems and its Application to Information Fusion
TL;DR: This is the first attempt to apply arithmetic operation SNPS to fuse multiple information and the effectiveness of the presented general arithmetic SNPS calculator is verified by means of several examples.
Journal ArticleDOI
An Adaptive Optimization Spiking Neural P System for Binary Problems.
Ming Zhu,Qiang Yang,Jianping Dong,Gexiang Zhang,Xiantai Gou,Haina Rong,Prithwineel Paul,Ferrante Neri +7 more
TL;DR: A novel Dynamic Guider algorithm which employs an adaptive learning and a diversity-based adaptation to control its moving operators is proposed and the resulting novel membrane computing model for optimization is named Adaptive Optimization Spiking Neural P System (AOSNPS).
Journal ArticleDOI
Automatic Implementation of Fuzzy Reasoning Spiking Neural P Systems for Diagnosing Faults in Complex Power Systems
TL;DR: An automatic implementation method for automatically fulfilling the hard task, named membrane computing fault diagnosis (MCFD) method is developed, which is a very significant attempt in the development of FRSN P systems and even of the membrane computing applications.
Journal ArticleDOI
Multi-behaviors coordination controller design with enzymatic numerical P systems for robots
Xueyuan Wang,Xueyuan Wang,Gexiang Zhang,Gexiang Zhang,Xiantai Gou,Prithwineel Paul,Ferrante Neri,Haina Rong,Qiang Yang,Hua Zhang +9 more
TL;DR: A novel multi-behaviors co-ordination controller model using enzymatic numerical P systems for autonomous mobile robots navigation in unknown environments is proposed and the simulation of wheeled mobile robots shows the effectiveness of this approach.
Journal ArticleDOI
A Layered Spiking Neural System for Classification Problems
TL;DR: The proposed LSN P system presents the first SN P system that demonstrates sufficient performance for use in addressing real-world classification problems, and is likely to be the first to solve classification problems by supervised learning.