基于神经网络的印染废水处理组合工艺系统构建
Construction of combined process system for printing and dyeing wastewater treatment based on neural network
罗雄 1党小娟 1马杨林 1戴静1
作者信息
- 1. 陕西服装工程学院信息工程学院,陕西西安 712046
- 折叠
摘要
印染废水含有多种复杂的有机物质和重金属,处理难度较大,传统的处理技术往往难以达到理想的处理效果.近年来,人工智能技术为高效、精准的废水处理提供了新的解决方案,其中,神经网络以其强大的数据处理能力和模式识别功能可以优化处理工艺,提高处理效率,并降低运营成本.基于神经网络技术的印染废水处理组合工艺系统进行深入探讨,以期为印染行业提供一种更为高效、可持续的废水处理新方案,促进环保技术的应用和环境质量的改善.
Abstract
Printing and dyeing wastewater contains a variety of complex organic substances and heavy metals,and its treatment is difficult,and traditional treatment technology is often difficult to achieve the de-sired treatment effect.In recent years,artificial intelligence technology has provided new solutions for efficient and accurate wastewater treatment,among which neural networks,with their powerful data processing capa-bilities and pattern recognition functions,can optimize the treatment process,improve treatment efficiency,and reduce operating costs.The combined process system of printing and dyeing wastewater treatment based on neural network technology was deeply discussed in order to provide a more efficient and sustainable wastewater treatment scheme for printing and dyeing industry,and promote the application of environmental protection technology and the improvement of environmental quality.
关键词
神经网络/印染废水/环境保护Key words
neural network/printing and dyeing wastewater/environmental protection引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据