机译:通过稀疏响应正则化提高反向传播算法的性能
School of Mathematics and Statistics Xi'an Jiaotong University, Xi'an 710049, PR China;
School of Mathematics and Statistics Xi'an Jiaotong University, Xi'an 710049, PR China;
School of Mathematics and Statistics Xi'an Jiaotong University, Xi'an 710049, PR China;
The 20th Institute of China Electronics Technology Group Corporation, Xi'an 710068, PR China;
School of Mathematics and Statistics Xi'an Jiaotong University, Xi'an 710049, PR China;
Feed-forward artificial neural network; Backpropagation; Human nervous system; Regularization;
机译:稀疏空间谱估计:协方差拟合算法,性能和正则化
机译:反向传播和遗传算法在数据分类中的性能比较
机译:ℓ_(2,q)正规化组稀疏优化:下限理论,恢复绑定和算法
机译:一种并行最佳响应算法,具有精确的线路搜索非透露稀疏性 - 正规秩最小化
机译:稀疏脉冲响应识别的自适应算法。
机译:基于粒子群优化和贝叶斯正则化算法的反向化神经网络优化光学机械结构
机译:基于粒子群优化和贝叶斯正则化算法的反向化神经网络优化光学机械结构