Artificial neural network is used forClassificationClusteringPattern recognitionAll of the above

Analyzing the Options

1. Classification: Artificial neural networks (ANNs) are commonly used in classification tasks, where the goal is to assign input data into predefined categories.

2. Clustering: While traditional ANNs are not used for clustering, variations like Self-Organizing Maps (SOMs) can perform clustering tasks. Thus, ANNs can also be relevant in this context.

3. Pattern Recognition: ANNs excel at recognizing patterns in data, particularly in fields like image and speech recognition.

4. All of the above: Given that ANNs can be applied to classification, clustering (in some variations), and pattern recognition, this option encompasses all aforementioned tasks.

Conclusion

Given that artificial neural networks have applications in classification, clustering (depending on the type of neural network), and pattern recognition, the correct answer is:

All of the above.