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- The paper introduces a new method of detecting mine fire by using fire graphics' parameters and advanced artificial neuron network technique to make comprehensive analysis and judgment. 介绍一种利用煤矿井下火灾图像进行探测的新方法,利用火灾图像的多个参数,并采用先进的人工神经网络技术,进行综合分析判断。
- Application of artificial neuron network in process design 人工神经网络在工艺设计中的应用
- SHORT TERM LOAD FORECASTING USING ARTIFICIAL NEURON NETWORK AND FUZZY INFERENCE 基于人工神经网络和模糊推理的短期负荷预测方法
- Artificial Neuron Network and Its Application to Financial Forecasting 人工神经网络及其在金融预报中的应用
- Fault Detection and Diagnosis of Permanent-magnet DC motor Based on Parameter Estimation and Artificial Neuron Network 基于参数估计和人工神经元网络的永磁直流电动机故障检测与诊断
- Application Of Artificial Neuron Network To The Power Consumption Estimation Of Resident 人工神经网络在居民用电量预测中的应用
- Identifying Mechanics Parameters of Rock Mass by Using Artificial Neuron Network 用人工神经网络方法辨识岩体力学参数
- Solution of the Artificial Neuron Network to General Scouring in the Boulder Riverbed 漂石河床一般冲刷的人工神经网络解
- Prediction for the Burning Rate of Igniting Mixture by Artificial Neuron Network 人工神经网络对混合点火药燃速的预测
- Multi-layer Artificial Neuron Network and the Application of BP Algorithm to System Forecasting 多层人工神经网络及其BP算法在系统预报中的应用
- artificial neuronal network 人造神经元网络
- artificial neuron network 人工神经网络
- Large Artificial Neuron Network 大型人造神经网络(高速逻辑电路)
- artificial neuron networks 神经元网络
- Pavalbumin-immunoreactive interneurons are controlled by an inhibitory neuronal network in basolateral nucleus of the rat amygdala. 大鼠杏仁体基底外侧核中小白蛋白反应阳性神经元受抑制性神经网络支配。
- The simulation result shows that the quantum neuron network is superior to classical BP and RBF network for the financial data analysis example. 仿真结果显示，就算例而言，该量子神经计算网络的性能优于传统的神经网络。
- The multi-state electronic neuron network may be widely used in combination optimation oper-ation and medical pattern recognition. 这种多态电子神经元网络在组合优化运算和医学模式识别上可有广泛的应用。
- Besides, the selection of nodal points of hidden layer neuron network based on BP is key to the performance of image network, so it is a must to select proper nodal points of the hidden layer. 另外，基于BP算法的神经元网络中隐含层节点数的选择是影像网络性能的一个关键因素，所以，要选择恰当的隐含层节点数，
- Because the adaptive Neuron Network PID arithmetic need calculate many parameters and a normal slow speed CPU can not process program on real time, Samsung S3C44B0X CPU is selected. 由于带有自整定功能的模糊控制PID算法的计算参数很多,一般的低速CPU不能实时处理,因此本文采用Samsung公司的S3C44B0X CPU。
- Combining it with the adaptive linear neuron network, the multiplex control strategy takes the dynamic errors and given signals of the system as input signals to the CMAC neural network. 该控制器以系统动态误差和给定信号量作为CMAC的激励信号，并与自适应线性神经元网络相结合构成系统的复合控制。
