Bidirectional Associative Memory for Function Approximation

Name: Bidirectional Associative Memory for Function Approximation
Brand: LAP Lambert Academic Publishing
SKU: 9783659865602
Price: 264.38 RON
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Autor: Somesh Kumar, Manisha Singh

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Editura: LAP Lambert Academic Publishing

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Capturing the implicit relationship between the input and output patterns such that when test input...

Informații despre carte

Autor

Somesh Kumar, Manisha Singh

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2016

Pagini

104

EAN

9783659865602

Enbook ID

02988723

Editura

LAP Lambert Academic Publishing

Greutate

173

Dimensiuni

150 x 220 x 6

Descriere completă

Capturing the implicit relationship between the input and output patterns such that when test input pattern is given, the pattern corresponding to the output of the generalized system is retrieved, is called the problem of pattern mapping. Since the very objective of pattern mapping problem is to capture the implied function and mimic its behavior and therefore it is also termed as function approximation problem. Alternatively, function approximation is the task of learning or constructing a function that generates approximately the same outputs from input vectors as the process being modeled, based on available training data. The approximate mapping system should give an output which is fairly close to the values of the real function for inputs close to the current input used during learning.

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Bidirectional Associative Memory for Function Approximation

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