Introduction to genetically optimized neural network systems (GONNS)

摘要

Genetically Optimized Neural Network Systems (GONNS) are introduced to find the optimal operating conditions for complex systems. GONNS uses the multiple back-propagation-type neural networks to represent the characteristics of the considered system and estimates the optimal operating conditions by using genetic algorithms. Back-propagation-type neural networks represented the simulated systems of the test cases with an average error of less than 1%. The genetic algorithms converged to the global minimum in less than 350 iterations having an error of less than 2%. The GONNS is an excellent decision-making aid for selection of manufacturing process and preparation of ideal diet.