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neural network相关的网络例句

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A neural network architecture, K-subspaces and time-delay auto-associators, is proposed for phoneme recognition. It extends the phoneme filter neural networks approach by adding linear auto-associators to create p-dimension subspace, and an iteration is employed to improve the decision.

提出了用于音素识别的K子空间和时延自相关器神经网络结构,用将时延设计加入线性自相关器,以扩展音素滤波神经网络的方法,产生p维子空间,并采用迭代过程修改划分,以便捕获语音信号中的时间序列信息。

The theory of neural networks comes from American psychologist McCulloch and mathematician Pittss article in 1943. They described neural network with logistic and mathematical language.

神经网络的理论研究起源于1943年,美国心理学家McCulloch与数学家Pitts合作,用逻辑的数学工具研究客观事件在形成神经网络中的表述,从此开始了对神经网络研究的热潮。

The method of multiple models approximation using self-organizing map neural network is analyzed. The mechanism of this method is different to that of approximation method using other kinds of feedforward neural networks.

针对基于自组织映射神经网络的非线性函数逼近,研究其方法和原理,指出它与一般前向神经网络在逼近原理上的不同。

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 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。

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。

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。

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。

Since human's knowledge of real neural system is very limited, the improvement and development of artificial neural network need more detail information from neurophysiology and neuroanatomy.

由于人类对真实神经系统只了解非常有限一部分,人工神经网络的完善与发展有待于神经生理学、神经解剖学的研究给出更加详细的信息和证据。

With reference to the theory that only a part of signal from brain cells can reach pallium put forward by Raju Metherate,and the theory that axon signal strength is reduced with distance increment from main body of neural cells raised by Stephen R Williams,axon signal theory-based clustering algorithm of neural network is presented in this paper.

通过借鉴Raju Metherate提出的只有部分脑细胞发出的信号到达了大脑皮层的理论和Stephen R Williams提出的突触信号强度随着离神经细胞主体的距离的加大而减弱的理论,提出了基于轴突信号理论的神经网络聚类算法。

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