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Random projection is a well-known AI calculation, which can be executed by neural organizations and trained in an effective way. Adaptive Regularize Parameter Selection it will regularize the features which are important and select a most suitable feature for a specific problem. The main goal is to reduce the computational cost of both classification and regression task by using Randomization Algorithm. It provides the best possible result to the high-dimensional optimization. It uses Multi layer neural network for performing linear and non linear function.

Produktbeschreibung
Random projection is a well-known AI calculation, which can be executed by neural organizations and trained in an effective way. Adaptive Regularize Parameter Selection it will regularize the features which are important and select a most suitable feature for a specific problem. The main goal is to reduce the computational cost of both classification and regression task by using Randomization Algorithm. It provides the best possible result to the high-dimensional optimization. It uses Multi layer neural network for performing linear and non linear function.
Autorenporträt
Karakavalasa Durga Akhil, hat seinen B.Tech Computer Science and Engineering vom Sri Sivani Institute of Technology JNTUK, M.Tech Artificial Intelligence von JNTUA.Sehr interessiert an Projekten im Bereich Künstliche Intelligenz und am Schreiben von Artikeln.