Advanced Logistic Belief Neural Network Algorithm for Robot Arm Control

Abstract

Problem statement: This study discusses the implementation of advanced logistic belief Neural Network for robot arms control. Approach: Given the desired trajectory of the end-effectors in space, the logistic function is used to compute the conditional probability of the neurons being active in response to its induced field. The computations of conditional probabilities are performed under two different null conditions. (1) for all vectors not belonging to the parent of element node i and node j.