Comprehensive quantitative assessment models for ecological environment in arid area Forecasting system for ecological carrying capacity of Wulingyuan Scenic Spot based on ANN Assessing the fragility of ecosystem using artificial neural network model Applications of back propagation neural network for predicting the concentration of chlorophyll-a in West Lake STUDY ON SELF-THINNING LAW OF PINUS MASSONIANA BASED ON ARTIFICIAL NEURAL NETWORK A Study on the Forecast Model of Dendrolimus punctatus Occurrence Based on Artificial Neural Network Variety Identification and Seed Test  by Peanut Pod Image Characteristics Studies on Natural Succession Prediction of Typical Steppe Based on BP-NN The Application of the Artificial Neural Network to Forecasting the Epidemic Trend of the Cotton Boll Rot Groundwater salt content change and its simulation based on machine learning model in hinterlands of Taklimakan Desert Modelling the spatial distribution of forest carbon stocks with artificial neural network based on TM images and forest inventory data Neural network based on modified simplex method and its application in studying forest self-thinning Artificial neural network evaluation of lake eutrophication Forest Fire Prediction Research Based on VLBP Neural Network Identifying the Patterns of Defects in Timber Using Ultrasonic Test Based on Wavelet Neural Networks On the Basis of Artificial Neural Network to Forecast the Forest Fire in Guangdong Province Prediction model of agricultural plant diseases and insect pests based on artificial neural network and its verification ESTABLISHMENT OF PATTERN RECOGNITION METHOD OR DIFFERENT RICE TYPE BASED ON HYPERSPECTRAL DATA Research on the Method for Forest Disaster Monitoring——Taking Southwest Forest Fire as an Example Estimation of Forest Fuel Load Based with Ridge Regression and Artificial Neural Networks Application of Pattern Recognition to Quality Assessment of the Traditional Chinese Medicine Quality control in liquid-liquid extraction of Reduning injection using near-infrared spectroscopy technology Testing the generalization of artificial neural networks in predicting rice tillering dynamics The application of BP-artificial neural network in ecological function evaluation of seabuckthorn Remote sensing estimation models of Suaeda salsa biomass in the coastal wetland Application of artificial neural network based on the genetic algorithm in predicting the root distribution of winter wheat STUDY ON DENSITY CHANGE LAW IN ALDER AND CYPRESS MIXED FOREST BY ARTIFICIAL NEURAL NETWORK Nrediction of Soybean Growth and Development Stages Using Artificial Neural Network and Statistical Models Classification and ordination of subalpine meadows in Wutai Mountains by artificial neural network methods A method for classification of natural grassland quality based on SOFM Evaluation of innovation on in vivo-in vitro correlation of gastric retenting drug delivery system for Chinese materia medica Evaluation of innovation on in vivo - in vitro correlation of gastric retenting drug delivery system for Chinese materia medica Application of Artificial Neural Network in Genomic Selection for Crop Improvement Quality Assessment of the Chinese Traditional Drug Weilingxian by Artificial Neural Network Soil evaporation in artificially revegetated sandy areas of Hunshandake Application and comparison of two prediction models for groundwater dynamics The Application Prospects of Artificial Neural Network in the Wood Industries ARTIFICIAL NEURAL NETWORK AND ITS APPLICATION IN AGRICULTURAL AND ECOLOGICAL RESEARCH Dynamic assessment of ecosystem service value:a case study of Xiangfan,Hubei Province after the project of south to north water transfer project in China Automatically Classifying and Identifying the TM Remote Sensing Images of Forest Mixed with Conifer and Broadleaves Using Improved BP ANN Artificial neural network model of spring wheat growth system in semi-arid areas and yield forecast Present condition and perspective of utilization of artificialneural network in Chinese materia medica f ield Application of Automatic Selection System of Forest Fire Spread Models Driven by Dynamic Data Network analysis of ethanol precipitation process for Schisandrae Chinensis Fructus