摘要
介绍了应用神经网络进行引信智能信息处理的探索性研究。采用BP算法建立了无监督特征提取的图象识别系统,包括三层网络自动联想机与两层网络信息提取器,实现了对输入图象的训练、记忆与分类。研究结果表明该方法技术可行,在一定程度上体现了信息处理的智能性。
Recognition and processing of graphic patterns using artificial neural
network (ANN) technique is introduced. A pattern recognition system of
unsupervised feature extraction based on BP algorithm is established, including
an automatic associative processor with 3 layers of network and an information
extractor with 2 layers. Training, recognition and classification of input patterns
are realized in the system.
出处
《北京理工大学学报》
EI
CAS
CSCD
1994年第4期433-437,共5页
Transactions of Beijing Institute of Technology
基金
国防科研基金~~
关键词
神经网络
模式识别
智能信息处理
引信
neural networks
pattern recognition/intelligence information processing