NN-approach to design of the optimal stochastic approximation algorithms

We develop a direct approach to the problem which leans upon neural network-based approximation to the optimal transformation function. This approach utilizes the following inherent properties of neural networks (NN): 1) the ability to produce an approximation to any continuous function with arbitrary degree of accuracy, and 2) the ability to tune adaptively their behaviour.