A probabilistic approach to the alopex process using moment invariants of images

Summary form only given, as follows. An iterative optimization technique has been developed that uses feedback in order to maximize the response of a system. The cost function for this process is problem dependent and therefore quite flexible. The method has been applied successfully to different optimization problems such as pattern recognition, reception field studies in the visual system of animals, curve fitting, etc. The authors explore the possibility of using probabilities and moment invariants in speeding up the convergence of the process.<>