A hybrid model of neural network and classification in wine

After studying the disadvantage of BP neural network which has low convergent speed and trap into local minima easily, an idea of designing a new hybrid neural network model. By using Artificial Bee Colony Algorithm (ABC) to expand the updated space of weight and using the fitness functions to decide the better weight. On the basis, make the acquired better value as the weight of BP neural network. Both are coordination makes the optimized BP network not to trap into the local minima, and good generalization characteristic. Simulation analysis demonstrated that this network model can attain higher categories of precision.