改进型动态隧道神经网络在蛋白质预测的应用.pdfVIP

Computer Engineering and Applications 计算机工程与应用 2011 ，47 （3） 13 改进型动态隧道神经网络在蛋白质预测的应用 1，2 1 1 刘 君 ，熊忠阳 ，王银辉 1，2 1 1 LIU Jun ，XIONG Zhongyang ，WANG Yinhui 1.重庆大学 计算机学院，重庆 400030 2.重庆广播电视大学 理工学院，重庆 400052 1.College of Computer Science ，Chongqing University ，Chongqing 400030 ，China 2.College of Science and Technology ，Chongqing Radio TV University ，Chongqing 400052 ，China E-mail ：junliucq@ 163.com LIU Jun ，XIONG Zhongyang ，WANG Yinhui.Application of improved dynamic tunneling neural network in protein sec- ondary structure prediction.Computer Engineering and Applications ，2011 ，47 （3 ）：13-16. Abstract ：Neural network suffers from a defect of easily immersing in local trap.Dynamic tunneling helps neural network eliminate the local trap by “tunneling”and jumping into a lower valley of object function.However ，the traditional dynamic tunneling technique tries to search in a random and single direction thus it is instable.In order to promote the searching effi- ciency ，an improved dynamic tunneling neural network algorithm has been proposed to enhance the instability by increasing the directions of tunneling and controlling the interaction between trajectories of the tunneling system with an angle spring coefficient.Experimental results of the prediction of alpha ，beta and coil protein secondary structure show that the improved algorithm outperforms the neural network and the traditional dynamic tunneling neural network. Key words ：protein secondary structure prediction ；neural network ；dynamic tunneling technique ；multi-trajectory 摘 要：神经网络具有容易陷入局部极小的缺点，动态隧道神经网络通过“钻隧道”方式，让目标函数跳出局部最小，找到更小的 可行域，从而避免神经网络陷入局部极小。传统的动态隧道技术隧道方向单一并且随意，因此具有不稳定性。为了有效提高动 态隧道的有哪些信誉好的足球投注网站效率，提出了一种改进型动态隧道神经网络算法。该算法增加有哪些信誉好的足球投注网站的隧道数，引入夹角弹性系数控制隧道方向，考 察隧道之间的相互影响。在对alp