Application Areas of Artificial Neural Networks
Less than 500 views • Posted On Aug. 23, 2020
The application areas of artificial Neural networks are -
- Speech Recognition:
- Speech occupies a prominent role in human-human interaction.
- Therefore it is natural for people to expect speech interfaces with computers.
- In the present era, for communication with machines, humans still need sophisticated languages that are difficult to learn and use.
- To ease this communication barrier, a simple solution could be communication in a spoken language that is possible for the machine to understand.
- Hence, ANN is playing a major role in speech recognition.
- Character Recognition:
- It is a problem that falls under the area of Pattern Recognition.
- Many neural networks have been developed for automatic recognition of handwritten characters, either letters or digits.
- Signature Verification Application:
- Signatures are useful ways to authorize and authenticate a person in legal transactions.
- The signature verification technique is a non-vision based technique.
- For this application, the first approach is to extract the feature or rather the geometrical feature set representing the signature.
- With these feature sets, we have to train the neural networks using an efficient neural network algorithm.
- This trained neural network will classify the signature as being genuine or forged under the verification stage.
- Human Face Recognition:
- It is one of the biometric methods to identify the given face.
- It is a typical task because of the characterization of "non-face" images.
- However, if the neural network is well trained, then it can be divided into two classes namely images having faces and images that do not have faces.
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