User talk:SelvavinayagamK

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'''Backpropagation cognitive framework for enabling active intelligence '''

Cognitive studies are well applied for solving complex problems, thereby providing solutions in real time for surface as well as spatial representation. The effectiveness of cognition depends on the experience domain as well as valid training data sets available for the model to solve complex issues. Backpropagation Cognitive Analysis (BCA) reflects the objects adherence to the solution and it also depends on the strength of the training dataset available.

BCA=ED*t ∃ |S|

BCA – Backpropagation Cognitive Analysis

ED – Experience Domain

t - Time


 * S| - Spatial Filter Modulus

Here Backpropagation cognition is taken from the current time to the historical level of information retrieving process, which is much needed for the site specific entity. Active intelligence mainly deals to bring out the solution on time, and also at a higher level of real time intelligence required by integrating active scenario for finding out the solutions in the required fields of interest. This brings out a scenario for forward propagation entity coupled with time and space.