{"id":57496,"date":"2024-04-16T01:03:01","date_gmt":"2024-04-16T01:03:01","guid":{"rendered":"https:\/\/exam.pscnotes.com\/mcq\/?p=57496"},"modified":"2024-04-16T01:03:01","modified_gmt":"2024-04-16T01:03:01","slug":"which-one-of-the-following-is-not-a-major-strength-of-the-neural-network-approach","status":"publish","type":"post","link":"https:\/\/exam.pscnotes.com\/mcq\/which-one-of-the-following-is-not-a-major-strength-of-the-neural-network-approach\/","title":{"rendered":"Which one of the following is not a major strength of the neural network approach?"},"content":{"rendered":"

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\r\n neural network learning algorithms are guaranteed to converge to an optimal solution <\/div>\r\n
\r\n neural networks work well with datasets containing noisy data <\/div>\r\n
\r\n neural networks can be used for both supervised learning and unsupervised clustering <\/div>\r\n
\r\n neural networks can be used for applications that require a time element to be included in the data <\/div>\r\n \r\n \r\n
Answer is Right!<\/div>\r\n
Answer is Wrong!<\/div>\r\n <\/div>\r\n\r\n