摘要
由一位新闻记者兼机器人与机器学习的新闻编辑每日新闻-关于人工智能的最新研究结果已经发表。根据NewsRx记者对Sosnowiec,Pola ND的新闻报道，研究表明："我们概述了用于水系统研究的选定人工智能方法，特别是人工神经网络(ANN)、adaptive neuro-fuzzy in fer ence system tems(ANFIS)、GE Netic Program Ming(GP)和Support Vector Ma Chine(SVM)方法。"新闻记者从自然科学系的研究中获得一句话：“对各种方法进行了分析，并讨论了最有效的方法，这些方法在预测所测表面和地面质量变化方面具有广泛的应用前景。”预测SEW AGE网络故障，评估水处理方案，气候监测，干旱检测和农民和农民的环境问题。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Artificial In telligence have been published. According to news reporting from Sosnowiec, Pola nd, by NewsRx journalists, research stated, “We overview selected artificial int elligence methods used in research on water systems, specifically artificial neu ral networks (ANN), adap tive neuro-fuzzy in fer ence sys tems (ANFIS), ge netic pro gram ming (GP) and sup port vec tor ma chine (SVM) meth ods.” The news correspondents obtained a quote from the research from the Faculty of N atural Sciences, “Each method is char ac ter ized and the most ef fec tive ways of us ing these meth ods are dis cussed. These meth ods prove widely use ful in fore cast ing changes in se lected sur face and ground wa ter qual ity pa ram e ters, fore cast ing sew age network failures, assessing water treatment options, climate monitoring, drought detection and environmental issues for farmers and pro duc ers.”
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