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- Hopfield Neural Network has been used to solve the constraints satisfaction problems. 本论文提出一新型的双并式直流对直流降压转换器电路架构。
- One of the most popular ones is the Hopfield Neural Network, which is good at solving optimization problems. 其中， Hopfield网络是一类应用十分广泛的人工神经网络，尤其在组合优化方面有着广泛的应用。
- Amanda Jane Breese, 1991, “Optics, Optimization, and Hopfield Neural Network” , Ph.D.Thesis, University of Reading Department of Physics. 庄福明，1995年，“变焦光学系统之全域解”，国立中央大学光电科学研究所，博士论文。
- This work investigates theoretical and computational issues of optimal control for distributed Hopfield neural network equations with diffusion term. 通过认真阅读这篇文章，不仅获得了宝贵的专业知识，论文写作方面更是收获良多。
- Based on the analysis of immune theory and Hopfield neural network(HNN),a new algorithm for multimodal function optimization was proposed. 实验表明,该算法是一种有效的求解多峰函数优化问题的方法,与免疫算法相比,搜索效率和精度都较高。
- Such a hybridization of the GQA with the Hopfield neural network reduces its computational complexity by providing faster convergence. 通过混合神经网络到GQA中,还可加快GQA的收敛速度进而减少算法的计算复杂度。
- Amanda Jane Breese, 1991, “Optics, Optimization, and Hopfield Neural Network” , Ph.D. Thesis, University of Reading Department of Physics. 庄福明，1985年，“变焦镜头之优化程式设计”，国立中央大学光电科学研究所，硕士论文。
- Using this algorithm,the Hopfield neural network is embedded into the GQA to improve further the fitness of the population at each generation. 所提算法把神经网络嵌入到遗传量子算法的每一代中,可进一步提高量子种群的适应度函数值。
- In the second section, we present a gradient-based algorithm to speed up the convergence of the Hopfield neural network. 本文的后半部分提出了一种基于梯度下降的算法来加速Hopfield神经网络的收敛过程。
- A better initial data estimation supplied by the GQA improves the performance of the HNN,and the embedded Hopfield neural network improves the performance of the GQA. 另外,GQA所提供的良好初值改善了HNN的性能,嵌入的HNN也提高了GQA的性能。
- In this paper, a complete solution which consists of two Hopfield neural networks is proposed to detect the defective dies of wafer image. 本文提出一个包含有两个霍菲尔类神经网路的自动化LED缺陷检测方案来侦测晶圆影像中的缺陷晶粒。
- The proposed approach, Hybrid Hopfield Neural Networks (HHNN) and the simulation techniques, save time and minimise unbalanced workloads among the operations. 所建议的方法，亦即混合合霍克菲尔神经网路(HHNN)以及模拟技术，可使得作业间可节省时间和工作量之不均衡最小化。
- Hopfield neural network algorithm HNN算法
- continuous Hopfield neural network 连续Hopfield网络
- Improved competitive Hopfield neural network 竞争Hopfield神经网络
- discrete Hopfield neural network 离散Hopfield神经网络
- separated Hopfield neural network 离散Horrid神经网络
- Discrete Hopfield Neural Network (DHNN) 离散Hopfield神经网络
- Discrete hopfield neural network ( DHNN ) 离散霍普费尔德网络
- The modeling of Hopfield neural networks was combined with the predictive control algorithm to the AFC(Auto Flatness Control)system,a model of algorithmic control based on these neural networks were offered for the flatness predictive control. 将Hopfield神经网络建模方法与预测控制思想相结合用于带钢板形自动控制,建立了基于Hopfield神经网络的板形的模型算法预测控制系统数学模型。
