Artificial Neural Networks (ANN) were built to model the brain with the goal of solving problems that humans alone cannot do as well as advancing artificial intelligence . Get closer to organic beings and acquire great computing power, to become a technological hybrid between sentient beings and advanced electronics; they represent the future of advanced robotics. They can be used in various fields such as voice recognition, inventory forecasting, weather, etc. Artificial neural networks (ANN) approximate the probable function that will likely produce the best result. This is done through extensive training of the system and the use of numerous training rules that allow the ANNS to recognize repetitive paradigms and use them to solve problems that the system has never encountered before. These systems model the cerebral cortex of mammals (the brain) and its neurons, hence the name artificial neural networks. Before understanding the complex structure of an artificial neural network, a rudimentary knowledge of an organic neural network is essential. The human brain is made up of more than billions of neurons interconnected by billions of synapses. Neurons exchange electrical impulses via synapses from other neurons or the senses. When a new experience is had, these neurons create new connections that can weaken, strengthen or alter over time. These are the experiences or memories that humans remember and which form the basis of the fundamental principles of decision-making and problem-solving. Artificial neural networks use these same principles; they model an approximate function based on the input and output rules and use this function to predict the output of a problem the system has never faced. The simple...... middle of paper ......hworks.com.au/products/neural-network/ http://www.techopedia.com/2/27888/programming/what-is-the -difference-between-artificial-intelligence-and-neural-networks http://wiki.answers.com/Q/Relationship_between_artificial_intelligence_and_neural_networks_with_help_of_a_scenario?#slide=1 https://sites.google.com/site/assignmentssolved/ mca/semester4/ mc0076/5 https://sites.google.com/site/assignmentssolved/mca/semester6/mc0088/6 http://www.doc.ic.ac.uk/~nd/surprise_96/journal/vol4 /cs11/report .html http://fann.sourceforge.net/fann_en.pdf http://books.google.com.au/books?hl=en&lr=&id=RTtvUVU_xL4C&oi=fnd&pg=PR9&dq=artificial+neural+networks&ots =Gaf-ujyEVC&sig =EkmwrfqC4MRdpHPyDnp5VDbDtFk#v=onepage&q=artificial%20neural%20networks&f=false http://osp.mans.edu.eg/rehan/ann/Artificial%20Neural%20Networks.htmhttp://www.psych.utoronto. ca/users/reingold/courses/ai/cache/neural2.html