• Maninderpreet Singh Puri
• Amrit Kaur

Artificial Intelligence is one of the fastest growing fields in the scientific community and many companies like Google are implementing Artificial Intelligence techniques for getting their user’s preferences for various business/marketing oriented clients. Manufacturing industries are now using automated machines for producing products and these robots are more reliable and less reluctant to make errors. Scientists are developing new technologies which run on simulated human brains that can act like humans, understand the language and perform tasks. Artificial intelligence is present everywhere, from the mobile phones we carry that are tracking our locations to monitor our daily activities to modern watches which can track our daily sleep, heart rate, calories burnt and based on information can suggest how to improve lifestyle. In the field of military, robots which can inspect the enemy areas are very beneficial for making strategic plans and in a catastrophic situation, rescue operation can be carried out by robots that can go to places where humans cannot go. The aim of this paper is to highlight some of the current techniques that are used in Artificial Intelligence (Artificial Neural Networks). Also, it elucidates the advantages, disadvantages, methods/functions, inputs/data sets, results used in experiments for different applications. Techniques described in the paper are Neural Networks, ANN, Convolution Neural Networks, Deep Neural Networks, Feed Forward Networks and other prominent methods used in applications for classification of data.

Artificial Intelligence, Neural Networks, Classification, Deep Neural Networks, Feed Forward Neural Networks, Convolution Neural Networks.

"Analysis of various classification techniques based on neural networks.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.627-635, July-2018, Available :http://www.jetir.org/papers/JETIR1807552.pdf

"Analysis of various classification techniques based on neural networks.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp627-635, July-2018, Available at : http://www.jetir.org/papers/JETIR1807552.pdf