Golgappa.net | Golgappa.org | BagIndia.net | BodyIndia.Com | CabIndia.net | CarsBikes.net | CarsBikes.org | CashIndia.net | ConsumerIndia.net | CookingIndia.net | DataIndia.net | DealIndia.net | EmailIndia.net | FirstTablet.com | FirstTourist.com | ForsaleIndia.net | IndiaBody.Com | IndiaCab.net | IndiaCash.net | IndiaModel.net | KidForum.net | OfficeIndia.net | PaysIndia.com | RestaurantIndia.net | RestaurantsIndia.net | SaleForum.net | SellForum.net | SoldIndia.com | StarIndia.net | TomatoCab.com | TomatoCabs.com | TownIndia.com
Interested to Buy Any Domain ? << Click Here >> for more details...


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

Given a series of positive integers. Design an efficient algorithm that can detect pairs whose sum is equal to K such that K = ei + ej, and (i not equal to j).

0 Answers   Expedia,


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  


what is software cycle?give a diagramatic representation

0 Answers  


Define Routing Algorithm?

0 Answers   Maveric,


What is meant by uniform cost search algorithm?

0 Answers  


What is the depth-first search algorithm?

0 Answers  


What is simulated annealing 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  


Can you list some use cases where classification machine learning algorithms can be used?

0 Answers  


what are the minimum requirements for statr testing?

0 Answers   QA,


Why size of integer depends on the machine architecture then what the best sorting algorithm and why?

0 Answers   HPCL, Hughes Systique Corporation,


When an algorithm is considered completed?

0 Answers  


Categories
  • AI Algorithms Interview Questions AI Algorithms (74)
  • AI Natural Language Processing Interview Questions AI Natural Language Processing (96)
  • AI Knowledge Representation Reasoning Interview Questions AI Knowledge Representation Reasoning (12)
  • AI Robotics Interview Questions AI Robotics (183)
  • AI Computer Vision Interview Questions AI Computer Vision (13)
  • AI Neural Networks Interview Questions AI Neural Networks (66)
  • AI Fuzzy Logic Interview Questions AI Fuzzy Logic (31)
  • AI Games Interview Questions AI Games (8)
  • AI Languages Interview Questions AI Languages (141)
  • AI Tools Interview Questions AI Tools (11)
  • AI Machine Learning Interview Questions AI Machine Learning (659)
  • Data Science Interview Questions Data Science (671)
  • Data Mining Interview Questions Data Mining (120)
  • AI Deep Learning Interview Questions AI Deep Learning (111)
  • Generative AI Interview Questions Generative AI (153)
  • AI Frameworks Libraries Interview Questions AI Frameworks Libraries (197)
  • AI Ethics Safety Interview Questions AI Ethics Safety (100)
  • AI Applications Interview Questions AI Applications (427)
  • AI General Interview Questions AI General (197)
  • AI AllOther Interview Questions AI AllOther (6)