智能三模态生物识别系统中基于级联链接的前馈神经网络(CLBFFNN)的网络学习与训练

E. Benson-EmenikeMercy, J. Ifeanyi-ReubenNkechi
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引用次数: 1

摘要

目前,考虑到我们现代世界的技术进步,我们迫切需要一个能够学习新概念并自行做出决定的系统。因此,人工神经网络是当前形势下所需要的一切。在本文中,CLBFFNN是一种特殊的智能形式的人工神经网络,它能够适应新思想的训练和学习,并能够在涉及指纹、人脸和虹膜测量数据的三模态生物识别系统中做出决策。它概述了神经网络
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Network Learning and Training of a Cascaded Link-Based Feed Forward Neural Network (CLBFFNN) in an Intelligent Trimodal Biometric System
Presently, considering the technological advancement of our modern world, we are in dire need for a system that can learn new concepts and give decisions on its own. Hence the Artificial Neural Network is all that is required in the contemporary situation. In this paper, CLBFFNN is presented as a special and intelligent form of artificial neural networks that has the capability to adapt to training and learning of new ideas and be able to give decisions in a trimodal biometric system involving fingerprints, face and iris biometric data. It gives an overview of neural networks
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