湖泊水质富营养化评价的多准则神经网络法

提出了基于误差平方和准则与模糊熵准则下的多准则神经网络湖泊水质营养化评价模型,并将其应用于我国五大湖泊水质营养化的评价。结果表明,多准则神经网络用于湖泊水质营养化评价,具有简便、实用、客观和广泛的通用性。

Comparison of Two Neural Networks in MC-CDMA Multiuser Detection

MC CDMA is a thriving topic in recent years. Multiuser interference is also very severe as in DS CDMA. ML method is the best multiuser detection, but it has a computational complexity exponentially increased with the number of users. Mean field annealing and chaotic neural network are two promising optimum techniques. This paper applies them into the ML detection, comparison of the two methods is made.