论文标题
Au-nn：Anfis单元神经网络
AU-NN: ANFIS Unit Neural Network
论文作者
论文摘要
在本文中，描述了Anfis单元神经网络，这是一个深层神经网络，每个神经元都是独立的ANFI。显示了该网络的两个用例以测试网络的功能。 （i）五个想象的单词的分类。 （ii）在检测想象中的单词段与闲置状态段的任务中的增量学习。在这两种情况下，提出的网络都胜过常规方法。另外，描述了一个分类过程，其中将每个实例作为一个示例而不是以整个实例为例，而是将每个实例分解为一组较小的实例，并且分类是通过大多数投票对集合的所有预测进行的。构建本文中使用的AU-NN的代码可在github存储库中获得https://github.com/tonahdztoro/au_nn。
In this paper is described the ANFIS Unit Neural Network, a deep neural network where each neuron is an independent ANFIS. Two use cases of this network are shown to test the capability of the network. (i) Classification of five imagined words. (ii) Incremental learning in the task of detecting Imagined Word Segments vs. Idle State Segments. In both cases, the proposed network outperforms the conventional methods. Additionally, is described a process of classification where instead of taking the whole instance as one example, each instance is decomposed into a set of smaller instances, and the classification is done by a majority vote over all the predictions of the set. The codes to build the AU-NN used in this paper, are available on the github repository https://github.com/tonahdztoro/AU_NN.
