@Anisha, Following are the advantages of Artificial Neutral networks over SVM-
l. ANNs can produce any number of outputs while SVMs have only one output.
2. An n-ary classifier with a neural network can be trained in one go while n-ary classifier with SVMs trains each of them one by one.
3. SVMs are isolated systems whereas, ANNs are one whole.
4. ANNs are parametric models while SVMs are non-parametric models.
Ex-
If you had to measure a person's hormone level as a function of other physiological factors like heart rate etc, then it is preferable to use artificial neural network regression over support vector machine regression since those factors are inter-related.
Hope this answer helps.