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I know there are many advantages that SVMs have over ANN since they cover two main disadvantages of ANN: ANN covers only the local minima and not global minima ANN sometime considers noise as a part of a pattern But I want to know” What specific advantage does ANN has over SVM which makes ANNs usable ?” Select the correct answer from above options

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@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.

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