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neural相关的网络例句

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与 neural 相关的网络例句 [注:此内容来源于网络,仅供参考]

On the basis of the researching the neural network theory, presenting the neural network model (N-SearCut model) for searching for minimal cutset of a graph, proving the stability of this model, analyzing the dynamic behavior of this model, deducing a series of corresponding theorems and affording an academic fundaments for solving optimization problem based on this model.

在研究人工神经元网络理论基础之上,提出了搜索图最小割集的神经网络模型——N-SearCut模型,证明了该模型的稳定性,分析了该模型的动态特性,导出了一系列的定理,为运用该模型进行优化问题的求解提供了理论依据。

Aiming at the drawbacks of traditional BP neural network, such as converging slowly and tending to get into the local minimizer, the particle swarm algorithm is introduced into the training of neural networks.

此外针对传统的BP神经网络存在收敛速度慢以及容易陷入局部极小值的缺点,引入粒子群算法对神经网络的学习训练进行优化。

The table of contents include 15 parts, early events in neural development; neuronal differentiation; pattern and positional information; movement and migration of neurons; axon outgrowth and the generation of stereotyped nerve patterns; neuronal death during development; trophic effects of targets on neurons; long-term effects of neurons on their targets; formation of synapses; selective synaptic connections; the molecular basis of neuronal recognition; rearrangement of developing neuronal connections; maintenance and modifiability of synapses; the development of behavior; principles of neural development.

内容包括15部分,早期神经发育事件;神经细胞分化;模式与位置信息;神经元运动及迁移;轴突生长与固定的神经模式的形成;发育过程中的神经细胞死亡;对神经细胞靶向的营养效应;神经细胞对它们靶向的长期效应;突触形成;选择突触连结;神经细胞识别的分子基础;发育过程中神经细胞连结的重置;突触保持和改变;行为发育;神经发育原理。

The two fuzzy neural network models are constructed respectively for generalized modus ponens and modus tollens. The paper gives the properties, learning algorithms and inference instances of the two neural networks. And the paper also compares this generalized method with the other inference methods.

传统的区间值模糊集的相容性则度由于结构复杂,从而掩盖了它的一些本质,而且与人的某些直觉不符,为此本文另外提出了一个"相合度"概念,并将两者进行了比较,分别给出了相容度和相合度为1的充分必要条件和直观解释,并首次讨论了模糊推理对相容度和相合度的传播问题。

A mathematical model of interceptor missile was constituted based on moment of momentum theorem. And with a view to mathematical model and fire logic of thrusters, a neural network controller of attitude motion system was designed for interceptor missile: acquiring basal controller based on simple method, and adjusting control parameters of simple controller using neural network.

首先基于动量矩定理建立了拦截弹姿态运动的数学模型,然后针对数学模型和推力器点火逻辑的特点,设计了拦截弹姿态运动系统的神经网络控制器。

Various spectral-temporal cues extracted from the model are used for monaural speech segregation. Then, a self-organizing feature map neural network is utilized to mimic the neural function in segregating and clustering a mixed sound into separated sounds.

我们从此模型中取出不同在时域-频域上的一些使用於单耳语音分离系统的线索,之后,利用自组织映射图来模拟神经元将混合的语音分组和归类成分开的语音。

We use the filtered variables to build Ridge estimation equation, and calculate the multiple correlation coefficient, at the same time passed the correlation test of the Ridge estimation equation; we built forward neural network model based on SCG method and momentum method under the MATLAB 6.5 situation, when estimating the fuel load of the sampled plots, the average precision of the artificial neural network model is 89.51%.

利用筛选出的自变量构建岭估计方程,并通过了岭估计方程的相关检验;在MATLAB6.5环境下构建基于SCG法和动量法的前向神经网络模型,在对所设置实验样地可燃物估测中人工神经网络模型估测的平均精度为89.5%。

Next, a new neural network algorithm with competitive learning and multiple safe reflection schemes are proposed in the context of parallel, self-organizing, hierarchical neural networks.

然后,针对分类器的特性,对竞争算法进行改进,把安全拒识措施结合到竞争算法中,提出了一种新颖的神经网络-并行、自组织、层次神经网。

Besides neural tube, qBrn-2 was also expressed in notochord, neural crest, myotome and retina, whereas Brn-2 was not.

另外,与Brn-2不同,在鹌鹑胚胎发育中的中脑与后脑交界处作者没有发现qBrn-2表达区域的空缺。

Through the analysis the work of constructive algorithm and nappe neural networks,the constructive algorithm for training nappe neural network ensembles is proposed.

在分析构造性神经网络集成和层状神经网络集成方法的基础上,提出了一种构造性层状神经网络集成方法。

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