Stability Analysis of Gradient-Based Neural Networks for Optimization Problems

Business & Economics

• Stability Analysis 100%
• Neural Networks 91%
• Gradient 84%
• Optimization Problem 70%
• Equilibrium Point 47%
• Trajectory 26%
• Network Model 19%
• Objective Function 17%
• Lyapunov Stability 17%
• Lyapunov Function 15%
• Convex Optimization 13%
• Optimality Conditions 12%
• Simulation 6%

Mathematics

• Neural Networks 72%
• Stability Analysis 66%
• Gradient 58%
• Optimization Problem 54%
• Equilibrium Point 40%
• Neural Network Model 27%
• Trajectory 25%
• Converge 20%
• Objective function 18%
• Asymptotical Stability 14%
• Second-order Optimality Conditions 13%
• Lyapunov Stability 13%
• Necessary Optimality Conditions 12%
• Convex Optimization 11%
• Nonlinear Function 11%
• Asymptotically Stable 10%
• Lyapunov Function 9%
• Lipschitz 9%
• Simulation 6%
• Arbitrary 5%

Engineering & Materials Science

• Neural networks 46%
• Trajectories 20%
• Convex optimization 10%
• Lyapunov functions 9%