School of Engineering and Information Technology, UNSW Canberra @ the Australian Defence Force Academy, Australia;
School of Engineering and Information Technology, UNSW Canberra @ the Australian Defence Force Academy, Australia;
School of Engineering and Information Technology, UNSW Canberra @ the Australian Defence Force Academy, Australia;
School of Engineering and Information Technology, UNSW Canberra @ the Australian Defence Force Academy, Australia;
School of Engineering and Information Technology, UNSW Canberra @ the Australian Defence Force Academy, Australia;
Training; Genetic algorithms; Training data; Neural networks; Optimization; Robustness;
机译:使用基于框进化优化的混合优化技术和基于教师 - 学习者优化的PID控制器调整
机译:通过共同对抗培训,强大的图形神经网络对抗对抗攻击
机译:结合粒子群算法和遗传算法的模糊逻辑进化算法用于参数自适应和聚合:人脸识别的案例神经网络优化
机译:通过进化计算课程优化,对于神经学习者对分类对抗样品的强大
机译:对神经网络的对抗鲁棒性和强大的元学习
机译:BMPWnt和FGF信号通过进化保守的增强子整合以在斑马鱼神经板边界实现Pax3和Zic基因的稳定表达
机译:具有进化的对抗性关注网络的强大多模式表示学习