| 1. | A new approach for image edge detection based on pcnn
基于脉冲耦合神经网络提取图像边缘的新方法 |
| 2. | Dpcnn - delay pulse coupled neural network
在时延脉冲耦合神经网络 |
| 3. | Grayscale image edge detection based on pulse - coupled neural network
基于脉冲耦合神经网络的灰度图像边缘提取 |
| 4. | Coupling characteristics of nonlinearity birefringence impulse and its application
非线性双折射脉冲耦合特性及应用 |
| 5. | The image enhancement based on modified pulse coupled neural network and genetic algorithm
基于脉冲耦合神经网络和遗传算法的图像增强 |
| 6. | This thesis investigates the applications of pcnn in pattern recognition
本文主要研究了脉冲耦合神经网络( pcnn - - pulsecoupledneuralnetwork )在模式识别中的应用。 |
| 7. | This paper brings forward a new approach for region labeling by using double pulse coupled neural networks ( pcnn ) and morphology
摘要提出了一种双层脉冲耦合神经网络与数学形态学相结合的区域标识算法。 |
| 8. | Pulse coupled neural network ( pcnn ) is a new generation of artificial neural networks and is characterized with adaptive image separation and adaptive image feature extraction
脉冲耦合神经网络是新一代的人工神经网络，具有优良的自适应图像分割和自适应图像特征提取能力。 |
| 9. | This thesis firstly gives a detailed analysis of the mechanism of pulse - coupled neural networks ( simplified as pcnn ) , and then emphasizes its applications on image noise removal and edge detection
本文在分析脉冲耦合神经网络( pulse - coupledneuralnetworks ，以下简称pcnn )工作机理的基础上，着重研究了它在图像滤波和图像边缘检测中的应用。 |
| 10. | The workflow is constructed and software is developed with vc + + based on pcnn algorithm . the simulation results proved the algorithm is feasible , which is verified by simulation road weight value
在分析脉冲耦合神经网络的基本特性的基础上，设计了该算法流程，并用vc语言实现了该算法，通过模拟路网的路段权值数据进行了验证，结果显示该算法是可行的。 |
