摘要
为发挥 MATL AB和 VB各自的优势 ,将二者混合编程实现神经网络 ,并用于基于图像识别的储粮害虫检测系统 ,通过其应用充分证明二者混合编程能有效优化系统性能、提高效率、降低编程难度、缩短软件开发周期。
With the full use of MATLAB and VB advantages, th is paper presents several methods of hybrid programming between MATLAB and VB to implement neural network,which also applied to the storedgrain inset de tection system based on image recognition,and approved to effectively optimize t he system characteristics,improve efficiency,decrease programming difficulty and reduce the period of software development.
出处
《电脑开发与应用》
2004年第6期7-9,共3页
Computer Development & Applications
基金
河南省自然科学基金 (0 3110 1130 0 )资助。
