What is Back propagation in Neural Networks?






What is Back propagation in Neural Networks?..

Answer / rasmi ranjan das

A back-propagation neural network is only practical in
certain situations. Following are some guidelines on when
you should use another approach:

Can you write down a flow chart or a formula that
accurately describes the problem? If so, then stick with a
traditional programming method.
Is there a simple piece of hardware or software that
already does what you want? If so, then the development
time for a NN might not be worth it.
Do you want the functionality to "evolve" in a direction
that is not pre-defined? If so, then consider using a
Genetic Algorithm (that's another topic!).
Do you have an easy way to generate a significant number of
input/output examples of the desired behavior? If not, then
you won't be able to train your NN to do anything.
Is the problem is very "discrete"? Can the correct answer
can be found in a look-up table of reasonable size? A look-
up table is much simpler and more accurate.
Are precise numeric output values required? NN's are not
good at giving precise numeric answers.
Conversely, here are some situations where a BP NN might be
a good idea:

A large amount of input/output data is available, but
you're not sure how to relate it to the output.
The problem appears to have overwhelming complexity, but
there is clearly a solution.
It is easy to create a number of examples of the correct
behavior.
The solution to the problem may change over time, within
the bounds of the given input and output parameters (i.e.,
today 2+2=4, but in the future we may find that 2+2=3.8).
Outputs can be "fuzzy", or non-numeric.

Is This Answer Correct ?    6 Yes 4 No

Post New Answer




More AI Algorithms Interview Questions

1. Consider the following algorithm: for ( i = 1 ; i <= 1 . 5 n ; i++) cout << i ; for ( i = n ; i >= 1 ; i - - ) cout << i ; (a) What is the output when n = 2, n = 4, and n = 6? (b) What is the time complexity T(n)? You may assume that the input n is divisible by 2.

0 Answers  


what is software cycle?give a diagramatic representation

0 Answers  


can anyone help me with some suggestions and improvemnts for sage line 50?

0 Answers  


What is Back propagation in Neural Networks?

1 Answers  


what are the minimum requirements for statr testing?

0 Answers   QA,






Consider the following algorithm, where the array A is indexed 1 through n: int add_them ( int n , int A[ ] ) { index i , j , k ; j = 0 ; for ( i = 1 ; i <= n ; i++) j = j + A[i] ; k = 1 ; for ( i = 1 ; i <= n ; i++) k = k + k ; return j + k ; } (a) If n = 5 and the array A contains 2, 5, 3, 7, and 8, what is returned? (b) What is the time complexity T(n) of the algorithm?

0 Answers  


Consider the following algorithm: for ( i = 2 ; i <= n ; i++) { for ( j = 0 ; j <= n) { cout << i << j ; j = j + floor(n/4) ; } } (a) What is the output when n = 4 (b) What is the time complexity T(n). You may assume that n is divisible 4.

0 Answers  


Consider the following algorithm: j = 1 ; while ( j <= n/2) { i = 1 ; while ( i <= j ) { cout << j << i ; i++; } j++; } (a) What is the output when n = 6, n = 8, and n = 10? (b) What is the time complexity T(n)? You may assume that the input n is divisible by 2.

1 Answers  


what is software cycle?give a diagramatic representation

0 Answers  


Give an algorithm for the following problem. Given a list of n distinct positive integers, partition the list into two sublists, each of size n/2, such that the difference between the sums of the integers in the two sublists is minimized. You may assume that n is a multiple of 2.

0 Answers  


What is Na?ve Bayes Algorithm?

2 Answers  


Draw a flowchart to find the average of four number?

0 Answers  






Categories
  • AI Algorithms Interview Questions AI Algorithms (14)
  • AI Language Processing Interview Questions AI Language Processing (11)
  • AI Knowledge Representation Interview Questions AI Knowledge Representation (12)
  • AI Robotics Interview Questions AI Robotics (97)
  • AI Recognition Interview Questions AI Recognition (11)
  • AI Neural Networks Interview Questions AI Neural Networks (22)
  • AI Fuzzy Logic Interview Questions AI Fuzzy Logic (21)
  • AI Games Interview Questions AI Games (4)
  • AI Languages Interview Questions AI Languages (139)
  • AI Tools Interview Questions AI Tools (5)
  • AI Machine Learning Interview Questions AI Machine Learning (0)
  • AI General Interview Questions AI General (18)
  • AI AllOther Interview Questions AI AllOther (6)