Neural Network Applications -

Neural Network Applications

date_rangeJan 10, 2021

Neural Networks have been used in some very important applications and studies are on in the field. In this article we will look at four applications of Artificial Neural Networks to gain an idea on the real-world applications of them.

“Artificial neural networks, usually simply called neural networks, are computing systems vaguely inspired by the biological neural networks that constitute animal brains. An ANN is based on a collection of connected units or nodes called artificial neurons, which loosely model the neurons in a biological brain.” – Wiki 

Four Applications of Neural Networks

Speech Recognition: 

Speech recognition has been used in a lot of applications like Virtual Assistants, Translators, Gaming, etc. It is not as easy as it sounds as it involves making the machine understand what the human being is trying to express through natural language. Neural Networks is being used to help with speech recognition. Studies are on to progress with speech recognition using Neural Networks. 

Some Neural Networks used in Speech Recognition are Multilayer Networks, Multilayer Networks with recurrent connections, Kohonen self-organizing feature map. 

Signature Verification Applications: 

These days signature verification happens automatically. One way it is done is by using Neural Networks. It is a non-vision based technique. The trained Neural Network algorithm will classify the signature and conclude whether it is real or a copy. 

Character Recognition: 

It has many applications like invoice character recognition, bill recognition, receipts, etc. Two Neural Networks used for character recognition are:

  • Back propagation Neural Networks
  • Neocongitron 

A lot of research is happening by experts in this field to make character recognition more refined. 

Human Face Recognition:

We all know that human face recognition is used in many security applications (like entering secure places, unlocking a phone or laptop, etc.) Neural Networks can be trained to classify images into human faces and other general images. Two popular Neural Networks that are used are:

  • Fully-connected multilayer feed-forward neural network.
  • Principal Component Analysis.


Neural Networks is that part of AI that has a lot of scope. We have just started exploring this field and there is a lot more that can be accomplished by it in future. Many sectors stand to benefit once more studies and research happens in the field of Neural Networks. 

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