Introduction to Kinematics using Artificial Neural Network

Abstract

A neural network is a machine designed to simulate how a specific process or function of
interest is performed by the brain. To achieve good efficiency, we use a large interconnection
of simple computer cells called "neurons" or "processing units." Therefore, a neural network
viewed as an adaptive machine can be described as a massively parallel distributed
processor comprising simple processing units with a natural propensity to store experimental
knowledge and make it available for use.
Keywords: artificial neural networks, cartesian space, feed-forward neural networks,
forward kinematics, inverse kinematics neuron, robotics