1、

In recent years, computational intelligence has produced by using abstract mathematics language to imitate biological systems and human intelligence mechanism based on the mechanism of biological evolution, cellular immunity, neuron network, etc of biological systems.

近年来,借鉴仿生学的思想,基于生物体系的生物进化、细胞免疫、神经细胞网络等的某些机制,利用抽象描述的数学语言模仿生物体系和人类的智能机制,产生了计算智能。

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2、

Research of PID neuron network indirect control system on pendulum

倒立摆的PID神经元网络的间接控制系统的研究

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3、

A Dynamic Neuron Network Method for Sensor Failure Detection in a Thermodynamic System

热力系统传感器故障检测的动态神经元网络方法

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4、

Neuron Network Distributed Control System

神经元网络分布型控制系统及其应用

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5、

classification of sound speed profile with sofm neuron network

基于自组织神经网络的声速剖面分类方法研究

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6、

Study on ventilation system failure process and failure regularity based on adaptive neuron network

基于自适应神经网络的通风系统故障过程及其规律研究

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7、

auto-navigating virtual tracklayer based on genetic artificial neuron network

基于遗传神经网络的虚拟履带车辆自主导航

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Superheated Steam Temperature Intelligent Control Based on Adaptive Neuron Network

基于自适应神经元网络的过热汽温智能控制

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9、

Through an audiovisual tree diagram on the screen, it is realized the unification of backward and forward production system, semantic network, neuron network, frame structure, management of knowledge library, and arithmatic expressions tree.

它以直观的屏幕树图为媒介,实现了正、反向推理机、语义网络、神经元网络、框架结构、知识库管理和算术表达式树图等整体宏观统一;

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10、

Application of Neuron Network to VD Furnace Temperature Prediction Model

神经元网络在VD温度预报模型中的应用

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11、

The predicted errors of preserved 300 records were calculated by random forest, stochastic gradient boosting, support vector and artificial neuron network. The results show that artificial neuron network predict the most precisely.

并用随机森林、随机梯度Boosting、支持向量机和人工神经网络四种算法对预留的数据进行了预测,结果表明人工神经网络的预测误差最小。

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12、

The simulation results show that the quantum neuron network is superior to classical BP and RBF network for two financial data analysis examples.

仿真结果表明,就文中算例而言,该量子神经网络的计算性能优于传统的神经网络。

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13、

Finally, a fuzzy neural network based on a particular F2 neuron is applied in fuzzy inference.

该文把一个由特殊的F2型神经元组成的神经网络用于模糊推理,发现该推理方法是Zadeh的CRI法的推广,且能满足假言推理。

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14、

Optimizing Neuron Function Types Based on GP in Functional Network Design

基于遗传规划实现泛函网络神经元函数类型优化

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15、

Aiming at the problem of undetermined time delay in network control system ( NCS), the strategy based on neuron controller for compensating time delay is proposed in accordance with the characteristic analysis of time delay in cyclic service network and random contention network.

针对网络控制系统(NCS)中的不确定时延问题,在分析循环服务网络和随机争用网络的时延特性的基础上,提出了一种基于神经元控制器的时延补偿策略。

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16、

In the light of these, we adopt radial basis function neural network to gain on the process model and design adaptive neuron to optimize the output of the controller based on the general fuzzy control.

针对水轮机调节系统的上述特性,在常规模糊控制的基础上,采用径向基函数神经网络来逼近过程模型,并设计了自适应神经元来在线优化控制器的输出。

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17、

And the network is evolved by the co-evolution neuron method.

通过协进化神经元方法进化单个神经网络,并通过协作协进化算法将多个神经网络的进化联系起来,使多个智能体产生协作。

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18、

A neural network model for unequally distributed neuron states and its optical implementation

适用于神经元状态非等概率分布的神经网络模型及其光学实现

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19、

This paper presents an novel approach of single neuron adaptive control for switched reluctance motors ( SRM) based on radial basis function ( RBF) neural network on-line identification.

论文提出了一种基于径向基函数(Radial basis function)神经网络在线辨识的开关磁阻电机(SRM)单神经元PID自适应控制新方法。

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20、

Both BP neural network PID control and single neuron PSD adaptive algorithm are applied to realize the non-linear control of piezoelectric micro displacement system. The result shows that these two algorithms are efficient.

文中采用BP神经网络PID控制与单神经元PSD自适应控制两种方法对压电式微位移系统进行非线性控制,并取得了良好的效果。

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