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@article{144199,
        author = {K.Priyanka and B. Anjaneyulu},
        title = {Survey of User Interested Optimized Rule Mining with Artificial Bee Colony In Document Classification},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {3},
        number = {8},
        pages = {215-219},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=144199},
        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.},
        keywords = {Field-Programmable Gate Array(FPGA), SpikingNeural Network(SNN),Hindmarsh–Rose(HR)Neuron Model.},
        month = {},
        }