This Electronics Seminar Topic covers the following:

Just as  life attempts to understand itself better by modeling it, and in the process create something new, so Neural computing is an attempt at modeling the workings of a brain and this presentation  is an attempt to understand the basic concept of artificial neural networks.

In  this  paper, a small but effective overall content of  artificial neural networks is presented . .First,the history of Neural Networks which deals with the comparative study  of  how vast the Neural Networks have developed over the years is presented. Next, having known  what exactly is a neural network with the help of a MLP model, we proceed to next session: resemblance with brain where in the comparison  between brain and neural networks as well as neurons and perceptrons are made  with the help of figures. The most basic component of a neural network is the perceptron, which is called the artificial neuron, is studied  and depicted in the Structure of a Neural Network section which is followed by architecture. The most important concept of the neural networks are its wide range of its applications, a few of which will be dealt in the consequent sections and then its limitations. The main question of interest to us would be “What will be the future of Neural Networks, Will it survive or will it rule us?”—This section leads us to a brief conclusion and we end the paper with the references.

Click Here To Download Full Seminar

Related Posts:

• Optical Switching
• Optical Computing Technology
• Multisensor Fusion and Integration
• MOCT
• MEMS Switches
• Micromechanical System for System-on-Chip Connectivity
• Line-Reflect-Reflect Technique
• Integration of IT in machine tools

Tags: Artificial Neural Networks, Electronics Seminar Topics, engineering topics, Latest Seminar topics, Seminar topics