@article{(Open Science Index):https://publications.waset.org/pdf/10000365,
	  title     = {Artificial Neural Networks for Cognitive Radio Network: A Survey},
	  author    = {Vishnu Pratap Singh Kirar},
	  country	= {},
	  institution	= {},
	  abstract     = {The main aim of a communication system is to
achieve maximum performance. In Cognitive Radio any user or
transceiver has ability to sense best suitable channel, while channel is
not in use. It means an unlicensed user can share the spectrum of a
licensed user without any interference. Though, the spectrum sensing
consumes a large amount of energy and it can reduce by applying
various artificial intelligent methods for determining proper spectrum
holes. It also increases the efficiency of Cognitive Radio Network
(CRN). In this survey paper we discuss the use of different learning
models and implementation of Artificial Neural Network (ANN) to
increase the learning and decision making capacity of CRN without
affecting bandwidth, cost and signal rate.
	    journal   = {International Journal of Electronics and Communication Engineering},
	  volume    = {9},
	  number    = {1},
	  year      = {2015},
	  pages     = {224 - 229},
	  ee        = {https://publications.waset.org/pdf/10000365},
	  url   	= {https://publications.waset.org/vol/97},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 97, 2015},