In the model, using APEX network extracts classification information and condenses vector space dimensions, making use of feedforward network establishes the classification recognition function.
在诊断模型中，应用APEX网络提取分类信息，压缩向量空间维数，利用前馈网络建立其类型识别函数。
This paper presents a text categorization model based on multilayered feedforward neutral network, and introduces the design and implementation of this model.
给出一种基于多层前馈神经网络的中文文本分类模型，介绍了该模型的设计和实现。
A hierarchical feedforward neural network model particularly suited to practical statistical pattern recognition tasks is proposed in this paper.
本文提出了一个适用于统计模式识别任务的阶层式前馈神经网络模型。
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