Which one of the following is not a major strength of the neural network approach?
A) Neural networks work well with datasets containing noisy data.
B) Neural networks can be used for both supervised learning and unsupervised clustering.
C) Neural network learning algorithms are guaranteed to converge to an optimal solution.
D) Neural networks can be used for applications that require a time element to be included in the data.

Question

Quizplus · Accepted Answer

Although neural network learning algorithms generally converge to a good solution, they are not guaranteed to converge to an optimal solution. Local minima, where the algorithm gets stuck, can be a problem. Therefore, it is important to initialize the network and tune the parameters carefully to improve the chances of finding a good solution.

Which One of the Following Is Not a Major Strength