中文摘要：

光谱识别技术是光谱定性分析的基础。随着模式识别技术的发展，光谱识别技术已成为医药、环保、石化等行业进行快速检测的重要的手段。神经网络具有非线性映射、自适应学习、鲁棒性和容错性等特点，在信号处理、知识工程、模式识别等领域有着广泛的应用。文章以符合朗伯-比尔定律的光谱信号为研究对象。概述了运用神经网络进行模式识别的基本原理，随后根据光谱识别的具体要求，提出了基于多特征和神经网络的光谱识别方案，并进行了系统设计，建立了基本的模型框架。最后运用实例对该方法进行了说明。

英文摘要：

The technology of spectral recognition is the foundation of qualitative analysis by spectrum. With the technology of pattern recognition developed, the technology of spectral recognition has been a important tool for quick detection in medicine, environment and petrochemical industry etc. Artificial neural network has many good qualities, such as nonlinear mapping, selfadaptive leaming, robustness and fault tolerant ability. It is widely applied in signal procesing, knowledge engineering and pattern recognition etc. The present paper takes spectral signal according with Lambert-Beer＇ law as object, introduces basic pattern recognition theory of artificial neural network in brief, puts forward spectral recognition method based on multiple features and neural network according to spectral recognition need, makes system design and the basic frame of model, and gives an example for explanation.