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By using the Lyapunov functional and some inequality technique, some sufficient conditions are obtained for the global exponential stability and existence of the periodic solution to the BAM neural networks with distributed delays on time scales. In fact, the results can be easily applied in practice.
In this paper, a class of BAM neural networks with impulses is studied on time scales. Some sufficient conditions of global exponential stability of the equilibrium point with impulses are obtained. At last, we give an example to demonstrate the effectiveness of the obtained results.
In this paper, a class of BAM type Cohen-Grossberg neural networks with distributed delays are investigated. Some sufficient conditions about exponential stability of the distributed delays dynamic systems are obtained on time scales. The results extend and improve some recent works for neural networks with no impulses.
Self-adaptive back propagation neural network (BPNN) models based on hierarchical clustering were developed to classify corn kernels. To generate the sample sets, randomly selected kernels were divided into seven classes using multiple clusters, including three classes of flat kernels, three classes of round kernels and abnormal class. Further, the stepwise discriminant analysis was conducted to select...
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