【摘 要】
：
用进化规划与逐步二次规划来实现前馈神经网络的结构优化问题 ,并提出了一个相应的学习算法 .针对进化规划与逐步二次规划各自的特点 ,进行了组合 ,使算法不仅具有随机全局搜
【机 构】
：
湖北大学数学与计算机科学学院 湖北武汉430062
论文部分内容阅读
用进化规划与逐步二次规划来实现前馈神经网络的结构优化问题 ,并提出了一个相应的学习算法 .针对进化规划与逐步二次规划各自的特点 ,进行了组合 ,使算法不仅具有随机全局搜索能力 ,而且还具有更好的全局收敛能力 ,并与环境有更强的自适应能力 .最后通过仿真和应用实验证实了算法的有效性.
The evolutionary programming and step-by-step quadratic programming are used to realize the structural optimization of feedforward neural networks, and a corresponding learning algorithm is proposed.According to the respective characteristics of evolutionary programming and quadratic programming, the algorithm is combined so that the algorithm not only has random global Search ability, but also has better global convergence ability, and has stronger self-adaptability with the environment.Finally, the simulation and application experiments show the effectiveness of the algorithm.
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梁启超先生是近代中国著名的资产阶级思想家、政治家、学者和藏书家,对史学、文学、哲学、佛学、图书馆学及辨伪学的研究多有建树,且著述等身。先生是近代中国报界之巨子,其