machine learning - How to use opencv ann to evaluate a function output -


can compute function f(x) = sqr(x) using opencv ann ? need train ann using set of integers , square values.

i need squared value of integer output ann model.

if can using opencv ann, number input neurons, output neurons , how specify classes etc.. ??

you mention class specification, don't think class categorization problem. think better treat input x, , output sqr(x). becomes general function approximation problem.

there issue particular problem however. neural networks aren't suited functions unbounded input/output. output of neural network limited range of activation function, , input value scaled reasonable range. assuming using default activation (symmetrical sigmoid), output limited (-1, 1). if have limited range of integers want use, can still this, you'll have scale inputs , outputs accordingly.

if use method, there 1 input node, , 1 output node, corresponding scaled versions of x , sqr(x) respectively. opencv try take care of scaling automatically. it's best trust this, unless planning on providing multiple different sets of training data. different sets may have different distributions, hence different scale.


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