Volume 06, Issue 11
                Frequency: 12 Issue per year
                
                Paper Submission: Throughout the Month
                
                Acceptance Notification: Within 2 days 
                
                Areas Covered: Multidisciplinary
                
                Accepted Language: Multiple Languages
                
                Journal Type: Online (e-Journal)
                
            
            ISSN Number: 
2582-8568
          
Artificial neural networks (ANNs) are computational networks that are biologically inspired. The paper will focus on components of ANN, topologies, various learning strategies, examples, elements, activation functions and its variants in simplified manner. The paper will also focus on perceptrons, its characteristics and its types.The paper covers the majority of important points useful for aspirants preparing for National Eligibility test and state level lecturership test. The main purpose to prepare this paper is to facilitate computer teachers , research scholars and aspirants preparing for competition with a simplified view on the concept of ANN which base a unit covering 6-10 marks in NET /SET exam.
NTA, NET-CSS , ANN ,Synapse, Perceptron, Neuron, Activation function.