What Are The Disadvantages Of Artificial Neural Networks?

1.	What Are The Disadvantages Of Artificial Neural Networks?
Answer» The major DISADVANTAGE is that they require large diversity of training for working in a real ENVIRONMENT. Moreover, they are not STRONG enough to WORK in the real world. The major disadvantage is that they require large diversity of training for working in a real environment. Moreover, they are not strong enough to work in the real world.

Answer»

The major DISADVANTAGE is that they require large diversity of training for working in a real ENVIRONMENT. Moreover, they are not STRONG enough to WORK in the real world.

The major disadvantage is that they require large diversity of training for working in a real environment. Moreover, they are not strong enough to work in the real world.

Discussion

No Comment Found

Related InterviewSolutions

How To Avoid Overflow In The Logistic Function?
How Does Ill-conditioning Affect Nn Training?
What Are Conjugate Gradients, Levenberg-marquardt, Etc.?
What Learning Rate Should Be Used For Backprop?
What Is Backprop?
What Are Batch, Incremental, On-line, Off-line, Deterministic, Stochastic, Adaptive, Instantaneous, Pattern, Constructive, And Sequential Learning?
What Are Combination, Activation, Error, And Objective Functions?
How Are Nns Related To Statistical Methods?
What Are The Population, Sample, Training Set, Design Set, Validation Set, And Test Set?
What Are Cases And Variables?

What Are The Disadvantages Of Artificial Neural Networks?

Discussion

No Comment Found

Related InterviewSolutions

Reply to Comment