Love, in other words, USES the neural mechanisms that are activated during the process of addiction.
换句话说，爱情使用的是在成瘾过程中被激活的神经机制。
This process - 'neural plasticity' - is essential to learning (our brains change structure when we take on new information).
这一过程——也即神经重塑——是大脑学习的关键。
It implies that plasticity in neural systems involved in our ability to process observed pain can trigger actual pain.
它揭示了神经系统的可塑性可以激发出真正的痛感。而这种可塑性与我们在看到的疼痛时的处理能力有关。
Those that lost died off in a pruning process scientists call "neural Darwinism."
那些在修剪过程中失去的细胞科学家称之为“神经达尔文主义”。
Such a “neural prosthesis” could someday be used to facilitate the memory-forming process and help patients remember.
这种神经假体（neuralprosthesis）或许某一天能够用于促进记忆形成的过程并帮助患者记忆。
As the basic unit of Neural Network, Neural Controllers with different learning rules will result in different control effects for the learning process of synaptic weights.
作为神经网络控制的基本单元，采用不同学习规则的神经元控制器，对神经元的学习过程将产生不同的影响。
As the patient comes to grip with the issue, they start to feel better because during this process, new neural connections are being made.
当病人开始谈到问题关键的时候，他们开始觉得情形有所好转，因为在这个过程中，新的神经连接已经产生。
Then, the neural networks model is applied to identify and process input data, design suitable networks layer for the vehicle longitude dynamics system control.
利用神经网络模式识别能力对输入数据处理辨别，设计合适的控制网络层对汽车纵向动力学系统实施控制；
The time parameter is also imported into the neural network to give the time-varying characteristic of the process.
为表达过程时变的特点，引入时间参数作为神经网络的一个输入量。
There is the better application prospect for the application of artificial neural network in end-point prediction for the whole ferrous metallurgy process.
人工神经网络技术在冶金过程终点预报应用方面具有广阔的应用前景。
First, it researches the category and design process of the fault diagnosis model based on neural network. The model includes 6 categories and 5 design processes.
首先研究了基于神经网络的故障诊断模型的分类和设计步骤，并将诊断模型大体分为6类和5个设计步骤；
Against difficult convergence problem when the traditional neural networks are applied to complex process system, a hybrid expert neural networks model is brought forward.
针对传统神经网络用于复杂过程系统的控制时难于收敛的问题，文章提出了基于混合建模的模块化的神经网络模型。
Logging curves and stratum parameters are changed to image pattern by image process technology. Neural networks are introduced to extract and remember pattern character of curves automatically.
利用图像处理技术将测井曲线和地质参数转化为图像模式，由神经网络自动提取和记忆曲线所表征的小层模式特征。
Aimed at the pattern classification problems relating to time process, a neural network model named self-organization process neural network is brought forward in this paper.
针对与时间过程有关的模式分类问题，提出了一种自组织过程神经元网络模型。
Neuron is the basic unit of Neural Network. In the Neural Controller, the learning process of synaptic weights has a close relation with the learning rules.
神经元是构成神经网络的基本单元，在神经元控制器中，突触权因子（加权因子）的学习过程与神经元学习规律有着密切的关系。
In essence, learning in artificial neural networks is an optimization process, that is, an artificial network adjusts the weights of the network on its concrete error information.
从本质上讲，人工神经网络的学习过程是一个优化的过程，即根据具体的误差信息来合理地选择网络的权重。
Then, USES PCA to reduce the dimensions of process data, trains the neural network with that data, and establishes the soft sensor.
本文采用主成分分析技术对过程数据降维，然后用降维后的数据训练神经网络，建立软测量模型。
The inverse mapping is achieved through BP network, and neural network modul is constructed for designing process parameters.
通过误差逆传播(BP)网络实现了逆映射，建立了工艺参数设计的神经网络模块。
In this paper, the dynamic behaviors of continuous neural networks under structural variations in learning process are studied.
本文研究了连续神经网络在学习过程中结构摄动情况下网络的动态特性。
In consideration of the complexity of the aggregation operation of time in process neural networks, a new learning algorithm based on function orthogonal basis expansion is proposed.
该文在考虑过程神经网络对时间聚合运算的复杂性的基础上，提出了一种基于函数正交基展开的学习算法。
The learning process of a neural network is considered the process in which neural network variables are changed with a time series of input signals generated from a stochastic information source.
根据该理论，学习过程就是由随机信息源产生的输入信号驱动神经网络参数不断修改的过程；
This article presents the decision of obstacle avoidance behavior, robot moving control based on neural network during obstacle avoidance process.
介绍了避障行为的决策、基于神经网络的机器人在避障过程中的运动控制等。
The application shows that the algorithms simplify the computing complexity of process neural networks, and raise the efficiency of the network learning and the adaptability to real problem resolving.
应用表明，算法简化了过程神经网络的计算复杂度，提高了网络学习效率和对实际问题求解的适应性。
In this paper we propose an automatic sedimentary facies identifying method based on combing fuzzy ellipsoidal neural networks and image process technology.
提出了一种基于模糊超球神经网络聚类与图像处理技术相结合的沉积微相识别方法。
In order to model and simulate systems with time-varying functions or processes, a feedback process neural network model with time-varying input and output functions is proposed.
针对输入和输出均为时变函数或过程的实际系统建模和仿真问题，提出一种输入和输出均为时变函数的反馈过程神经网络模型。
It was put forward to apply neural network method to process the dynamic compression test data of molded pulp products.
根据纸浆模塑制品动态压缩试验的测试数据，提出了采用神经网络方法对试验数据进行处理。
In this model, the continuous input-output mapping of the system is realized by nonlinear mapping capability to the time variable of process neural networks.
该模型利用过程神经元网络所具有的对时间变量的非线性映射能力，实现系统的输入、输出之间的连续映射关系。
To solve the classification of dynamic signal, this paper proposed a feedback process neural networks model and classification methods based on this model.
针对动态信号模式分类问题，提出了一种反馈过程神经元网络模型和基于该模型的分类方法。
A neural network method was used to process image of welding pool and the result of detecting the edge of binary image with BP neural network was excellent.
探索了将神经网络用于焊接熔池图像处理的方法，采用BP神经网络对二值化熔池图像进行边缘提取，取得了理想的效果。
A neural network method was used to process image of welding pool and the result of detecting the edge of binary image with BP neural network was excellent.
探索了将神经网络用于焊接熔池图像处理的方法，采用BP神经网络对二值化熔池图像进行边缘提取，取得了理想的效果。
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