Survey of User Interested Optimized Rule Mining with Artificial Bee Colony In Document Classification

Survey of User Interested Optimized Rule Mining with Artificial Bee Colony In Document Classification
Author(s):
K.Priyanka, B. Anjaneyulu
Keywords:
Field-Programmable Gate Array(FPGA), SpikingNeural Network(SNN),Hindmarsh–Rose(HR)Neuron Model.
Abstract
Neural Network with perforation methodology has begun as a promising solution for Digital application in VLSI Technology.This short-term work suggests improved biological Hindmarsh–Rose (HR) neuron model that is more appropriate for efficient implementation on digital platforms. Simulation results show that the model can replicate the desired performances of the neuron. The proposed model is examined,in terms of digital implementation possibility and cost,targeting a low-cost hardware implementation. Hardware implementation on a field-programmable gate array shows that the improved model mimics the biological behavior of dissimilar types of neurons, with higher performance and noticeably lowers hardware overhead cost compared with the original HR model.
Article Details
Unique Paper ID: 144199 Publication Volume & Issue: Volume 3, Issue 8 Page(s): 215 - 219
Article Preview & Download

Share This Article

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org