Fuzzy cognitive maps as a soft computing method, which combines the synergistic fuzzy logic and theories of neural networks provides a powerful tool for the complex system modeling.
模糊认知图作为一种模糊逻辑和神经网络相结合的产物，为复杂系统建模提供了一种有效工具。
A method of implementing symbol logic inference system using recurrent multilayer perceptron neural networks is presented in this paper.
介绍一种用循环多层感知器神经网络实现符号逻辑推理系统的方法。
This system is made up of image capture unit, 3 parallel neural network recognition units, mobile characteristics calculation unit, syncretism logic, and corresponding software.
该系统由图像捕获单元，3个并行工作的神经网络识别单元、运动特征计算单元、融合逻辑和相应的软件构成。
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