Non-destructive diagnosis of food products using neural-genetic algorithm
by Tanya Titova; Veselin Nachev; Chavdar Damyanov
International Journal of Reasoning-based Intelligent Systems (IJRIS), Vol. 7, No. 1/2, 2015

Abstract: Hybrid neuro-genetic networks are a subclass of neural networks combining random-search methods with adaptive optimisation with the direct analogy of natural selection and genetics in biological systems. This paper tries to improve the efficiency of automated classifiers in the systems for automated quality determination and sorting via hybrid structures.

Online publication date: Fri, 31-Jul-2015

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