Artificial neural networks may function through images, images, and concepts. While conventional computers function logically with a set of rules and calculations. Neural networks are inspired by the structure of a biological neural network in the human brain. Let us discuss some important points on the advantages of neural networks over conventional computers. You also check out the advantages of a neural network to know more about it.
Advantages of neural networks compared to conventional computers:
- Neural networks have the ability to learn by themselves and produced the output that is not limited to the input provided to them.
- The input is stored in its own networks instead of the database. Hence, data loss does not change the way it operates.
- The neural network performs multiple tasks without affecting system performance.
- If any information is missing, the network can detect the fault and still produce the output.
Due to these above advantages, a neural network has many applications as compared with conventional computers such as image processing, route detection, forecasting, speech recognition, language processing and translation.