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1)  Hamming network
Hamming网络
1.
The paper compares the performance of Hopfield network and Hamming network from the angle of Hamming distance, and analyzes the advantages and disadvantages of the two networks in their respective application, and discusses the combination application of the two networks based on the examples of digital display mode.
本文首先从Hamming距离的角度对神经网络中有关Hopfield网络和Hamming网络的性能进行比较,分析了两种网络在各自单独应用时的优势与不足。
2)  hamming neural networks
Hamming神经网络
1.
In this paper, we put forward a model of multiobjective synthetic evaluation for the economic benefit based on Hamming neural networks, and it is applied to a real synthetic evaluation of economic benefit of 7 enterprises in China.
利用 Hamming神经网络提出了多指标经济效益综合评价模型建模方法 ,并将其应用于企业综合经济效益评价问题的研究中 ,取得了较满意的结
3)  fuzzy hamming net
模糊Hamming网络
1.
Parametric Optimization of Fuzzy Hamming Net Based on Genetic Algorithm;
基于遗传算法的模糊Hamming网络参数优化
4)  Hamming neural network
Hamming神经网络
1.
Cluster vectors of fuzzy adaptive Hamming neural network record the evolutionary search areas,and the optimum strings in those areas and their fitness are also recorded at the same time.
本文提出了一种基于Hamming神经网络聚类分析的进化策略 ,模糊自适应Hamming神经网络各类族的权重矢量纪录被进化搜索过的区域 ,并相应记录下该区域内最优个体和它的适应度 ,因此通过Hamming神经网络对进化个体的聚类分析 ,进化策略具有搜索记忆性 ,可以充分保证下一代遗传群体中个体遗传基因的丰富性 ,从而避免早熟现象的发生 ,这种进化策略还可以避免在被搜索过的区域内的无用搜索 ,进而加快进化策略的收敛速度 ,并可在收敛时同时给出解空间内的多个全局的局部最优
2.
In this paper, we try to combine quantum computation with classical neural computation, through designing several quantum operators we construct the quantum counterpart of Hamming neural network, and put forward a quantum competitive learning algorithm to realize functions of pattern classification and associative memory.
本文尝试将量子计算与传统的神经计算结合起来,通过设计若干个量子算子来构造Hamming神经网络的量子对照物,从而提出一种量子竞争学习算法(Quantum Competitive Learning Algorithm,QCLA),它能够实现模式分类和联想记忆。
5)  fuzzy adaptive hamming neural networks
模糊Hamming神经网络
6)  Fuzzy Adaptive Hamming Network
模糊自适应Hamming网络
1.
In this paper the series formulas of similarity measures between vague sets (values) were presented and we proved that the resolution of the five among these formulars is very strong and the resolution of on Abstract: In this paper, a method of speech recognition based on Fuzzy Adaptive Hamming Network is presented.
本文提出了一种基于模糊自适应Hamming网络的连续汉语识别方法,用模糊自适应Hamming网络来估计HMM中的状态观测概率。
补充资料:《网络分析和反馈放大器设计》
      论述网络分析和反馈放大器设计的名著,H.W.博德著,1945年在美国出版。作者在本书中叙述并发展了网络的一般理论,首先提出在一个网络中任何元件的回归差F 等于该元件具有正常值时的网络行列式与该元件值为零时网络行列式之比,推导出回归比T和环路传输μβ的关系
  
F=1+T=1-μβ

详细推导了网络函数的实部和虚部之间的关系,并把这种关系应用于负反馈放大器的输入、输出和级间网络的设计上。
  

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