A Swarm Optimization Solver Based on Ferroelectric Spiking Neural Networks

Keyphrases

• Spiking Neural Networks 100%
• Optimization Solvers 100%
• Swarm Optimization 100%
• Swarm Intelligence 60%
• Optimization Problem 40%
• Artificial Intelligence 40%
• Heuristic Search 20%
• Action Potential 20%
• High Performance 20%
• In Silico 20%
• Biological Systems 20%
• Coupled Neurons 20%
• Collective Intelligence 20%
• Collective Learning 20%
• Continuous Function 20%
• Combinatorial Optimization Problem 20%
• Efficient Implementation 20%
• Ferroelectric Field-effect Transistor (FeFET) 20%
• Behavioral Skills 20%
• Spike Timing 20%
• Excitatory Input 20%
• Swarm Intelligence Algorithm 20%
• Near-optimal Solution 20%
• Neural Systems 20%
• Collective Behavior 20%
• Bio-inspired Model 20%
• Emerging Hardware 20%
• Traveling Salesman Problem 20%
• Parameter Optimization 20%
• Multi-agent 20%
• Bird Flocks 20%
• Neural Dynamics 20%
• Spiking Neurons 20%
• Inhibitory Input 20%
• Spike Rate 20%
• High Energy Efficiency 20%
• Learnability 20%
• Fish School 20%
• Computing Paradigm 20%
• Intelligence Model 20%
• Computational Model 20%
• Hardware Platform 20%
• Neuromorphic System 20%
• Biological Swarms 20%
• Ant Colony 20%

Computer Science

• Neural Network 100%
• Swarm Intelligence 75%
• Optimization Problem 50%
• Artificial Intelligence 50%
• Metaheuristics 25%
• Biological System 25%
• Energy Efficiency 25%
• Collective Intelligence 25%
• Continuous Function 25%
• Combinatorial Optimization Problem 25%
• Efficient Implementation 25%
• Effect Transistor 25%
• Computational Modeling 25%
• Hardware Platform 25%
• multi agent 25%
• computing paradigm 25%
• Traveling Salesman Problem 25%
• Learning Ability 25%
• Neural Network Model 25%
• Swarm Intelligence Algorithm 25%
• Practical Solution 25%