1) Hamming neural net
Hamming神经网
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) 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。
4) fuzzy adaptive hamming neural networks
模糊Hamming神经网络
5) 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。
6) 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
补充资料：神经系统的进化水螅的神经网
李瑞端绘
[图]
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条