Application of a self-organizing fuzzy neural network controller with group-based genetic algorithm to greenhouse

摘要: As a complex nonlinear system, greenhouse can not be controlled perfectly by traditional control strategies. This paper proposes self-organizing fuzzy neural network controller (SOFNNC) with group-based genetic algorithm (GGA) to drive the internal climate of greenhouse. SOFFNNC is hybrid strategy which combines and organically. It generates or prunes neurons automatically structure learning algorithm, adaptively strike balance between rule number desired performance. In other avoid shortage original SOFNNC, we come up an improved method new parameter GGA. Based on model established Elman (ENN), test performance SOFNNC. Simulation comparison results prove that SOFNNC achieve outstanding effect high efficiency.