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Which of the following is untrue regarding Prediction with Neural Networks?

Which of the following is untrue regarding Prediction with Neural Networks? Correct Answer A neural network is trained by a single sequence

A neural network is trained not by a single sequence but by a sequence profile derived from the multiple sequence alignment. This combined approach has been shown to improve the accuracy to above 75%, which is a breakthrough in secondary structure prediction. The improvement mainly comes from enhanced secondary structure signals through consensus drawing. The following lists several frequently used third-generation prediction algorithms available as web servers.

Related Questions

Which of the following is true? (i) On average, neural networks have higher computational rates than conventional computers. (ii) Neural networks learn by example. (iii) Neural networks mimic the way the human brain works.
Which of the following is true?
(i) On average, neural networks have higher computational rates than conventional computers.
(ii) Neural networks learn by example.
(iii) Neural networks mimic the way the human brain works.
Which of the following is untrue about Prediction Using Neural Networks for Gene Prediction?
Consider the following statements regarding duality: 1. The dual networks are obtained for both AC and DC circuits and they are based on Kirchhoff's laws. 2. Dual circuits are not obtained in planar networks. 3. Two networks are said to be dual networks if mesh equations of one network have the same form as the nodal equations of the other. 4. Which of the above statements are correct. Which of the above statements are correct?
Which of the following is true for neural networks? (i) The training time depends on the size of the network. (ii) Neural networks can be simulated on a conventional computer. (iii) Artificial neurons are identical in operation to biological ones.
Which of the following is true for neural networks?
(i) The training time depends on the size of the network.
(ii) Neural networks can be simulated on a conventional computer.
(iii) Artificial neurons are identical in operation to biological ones.
Consider the following statements: (a) Tellegen’s theorem is applicable to any lumped networks (b) The reciprocity theorem is applicable to linear bilateral networks (c) Thevenin’s theorem is applicable to two - terminal linear active networks (d) Norton’s theorem is applicable to two - terminal linear active networks Which of the above statements are correct?
To improve the specificity of prediction, some algorithms selectively ______ coding regions and focus on the upstream regions________ which are most likely to contain promoters. In that sense, promoter prediction and gene prediction are coupled.
Which of the following is untrue about Prediction Using Discriminant Analysis for Gene Prediction?
Artificial neural networks may be thought of as simplified models of the networks of neurons that occur naturally in the ________