摘要
神经网络算法是人工智能领域的一个重要分支,旨在模拟人类大脑中的神经元和神经网络结构,实现复杂的智能任务。神经网络算法具有较强的适应性、鲁棒性、可拓展性以及并行处理能力、自适应能力、泛化能力。近年来,神经网络算法不断进步和完善,并且在多个领域展现出了强大的应用潜力。
Neural network algorithms are an important branch of artificial intelligence,aimed at simulating the neurons and neural network structures in the human brain to achieve complex intelligent tasks.Neural network algorithms have strong adaptability,robustness,scalability,parallel processing ability,adaptability,and generalization ability.In recent years,neural network algorithms have been constantly advanced and improved,and have demonstrated strong application potential in multiple fields..
作者
郭静慧
俞弋峰
李辉贤
GUO Jinghui;YU Yifeng;LI Huixian(Jiangxi Polytechnic University,Jiujiang Jiangxi 332900)
出处
《软件》
2024年第12期62-64,共3页
Software
关键词
神经网络算法
图神经网络
人工神经元
激活函数
neural network algorithm
graph neural network
artificial neurons
activation function
