@article{(Open Science Index):https://publications.waset.org/pdf/17083, title = {Almost Periodicity in a Harvesting Lotka-Volterra Recurrent Neural Networks with Time-Varying Delays}, author = {Yongzhi Liao}, country = {}, institution = {}, abstract = {By using the theory of exponential dichotomy and Banach fixed point theorem, this paper is concerned with the problem of the existence and uniqueness of positive almost periodic solution in a delayed Lotka-Volterra recurrent neural networks with harvesting terms. To a certain extent, our work in this paper corrects some result in recent years. Finally, an example is given to illustrate the feasibility and effectiveness of the main result. }, journal = {International Journal of Mathematical and Computational Sciences}, volume = {7}, number = {5}, year = {2013}, pages = {897 - 900}, ee = {https://publications.waset.org/pdf/17083}, url = {https://publications.waset.org/vol/77}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 77, 2013}, }