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[Other resource4378347348348

Description: 基于遗传算法的BP神经网络气象预报建模,20世纪90年代以来,国内外在大气学科中开展了很多有关神经网络预报建模和气候分析等应用研究。然而随着神经网络方法在大气科学领域研究的不断深入,研究人员发现神经网络方法在实际业务天气预报应用中存在一个重要的问题-BP neural network modeling of weather forecasting, in the 20th century since the 1990s, domestic and international disciplines in the atmosphere among many of the neural network forecasting and climate modeling analysis applied research. However, with the neural network method atmospheric science research in the field continued to deepen, the researchers found neural network method in practical business applications exist forecast an important issue
Platform: | Size: 64787 | Author: zhxj | Hits:

[AI-NN-PR4378347348348

Description: 基于遗传算法的BP神经网络气象预报建模,20世纪90年代以来,国内外在大气学科中开展了很多有关神经网络预报建模和气候分析等应用研究。然而随着神经网络方法在大气科学领域研究的不断深入,研究人员发现神经网络方法在实际业务天气预报应用中存在一个重要的问题-BP neural network modeling of weather forecasting, in the 20th century since the 1990s, domestic and international disciplines in the atmosphere among many of the neural network forecasting and climate modeling analysis applied research. However, with the neural network method atmospheric science research in the field continued to deepen, the researchers found neural network method in practical business applications exist forecast an important issue
Platform: | Size: 64512 | Author: zhxj | Hits:

[Windows DevelopCommonly_used_meteorologica_package

Description: 气象保障常用软件包:本书分为10章,包括客观分析、诊断分析、多元统计分析、主分量分析、自适应统计天气预报方法、时间序列分析、谱分析、人工神经网络天气预报方法、灰色系统及气象绘图软件等内容。 Fortran代码写在word文档中。-Commonly used meteorological package: This book is divided into 10 chapters, including an objective analysis, diagnostic analysis, multivariate statistical analysis, principal component analysis, adaptive statistical weather forecasting methods, time series analysis, spectral analysis, artificial neural network forecast method, the gray systems and meteorological elements, such as mapping software. Fortran code written on the word document.
Platform: | Size: 212992 | Author: 王哲 | Hits:

[Othercllib

Description: CLLIB is a varied collection of Common lisp tools and routines in CLOCC. -CLLIB is a varied collection of Common lisp tools and routines in CLOCC. Includes: ■ "guess the animal" game simple neural net (AI) ■ autoload function and snarfing autoloads from other files ■ basic definitions: package and path ■ base64 encoding and decoding (data format) ■ Rolodex: BBDB/vCard handling ■ check values and types of the elements of a list ■ Common Lisp HyperSpec access ■ read/write CLOS objects (serialization) ■ read/write comma-separated values ■ CVS diff and log parsing (version control) ■ data analysis and visualization ■ date/time ■ dated lists ■ answer questions automatically requires metering.lisp ■ Load and run Emacs-Lisp ELisp code in Common Lisp ■ read/write lists etc ■ Financial functions: mortgage calculations, Luhn algorithm, Black-Scholes, Solow (mathematics) ■ geography, weather, etc (units) ■ command line option processing- for Lisp scripting ■ Gnuplot interface (plotting) ■ GetQuote- stock quotes over the In
Platform: | Size: 456704 | Author: 张茜 | Hits:

[matlabprediction-of-weather-data

Description: 用BP神经网络和rbf神经网络预测风电功率-BP neural network and rbf neural network forecasting wind power
Platform: | Size: 17055744 | Author: 萱仔 | Hits:

[matlabBP-wind-prediction

Description: 含NWP数值天气预报和不含NWP数值天气预报的BP神经网络预测风电功率两种方法进行比较,含数据,实际案例。-With and without NWP NWP Numerical Weather Prediction NWP BP neural network prediction of wind power are two methods were compared with the data, the actual case.
Platform: | Size: 17408 | Author: Victoria | Hits:

[AI-NN-PRForecasting-wind-power

Description: 这是一篇关于利用改进的粒子群优化算法来构造多层人工神经网络的文章,可用于预测风力和天气。-This is an article on the use of improved particle swarm optimization algorithm to construct a multilayer artificial neural network of the article, can be used to predict the wind and weather.
Platform: | Size: 1024000 | Author: 棉花糖 | Hits:

[matlabPV_BP_forest_qingtian

Description: 实现光伏预测,通过当天的光伏出力和天气指数加上预测日的天气指数预测明天的光伏出力,基于BP神经网络对光伏出力进行预测-Realization of photovoltaic forecast photovoltaic output through the day and the weather forecast daily index plus weather forecast for tomorrow s PV output index, BP neural network to predict based on the realization of photovoltaic PV output forecast photovoltaic output through the day and the weather forecast daily index plus the weather forecast for tomorrow s PV output index, BP neural network to predict the output of the PV
Platform: | Size: 2048 | Author: luzhouxin | Hits:

[AI-NN-PRneural-network

Description: 难得的人工神经网络用于智能气象预报建模的资料-neural network for intelligent weather forecasting modeling
Platform: | Size: 1838080 | Author: 彭昱 | Hits:

[Industry researchNeuralNetwork

Description: this file contains code for neural network to predict weather and diseases according to input data.
Platform: | Size: 201728 | Author: saurabh | Hits:

[JSPNeural-Network-Programming-with-Java-2016-

Description: Learn to build amazing projects using neural networks including forecasting the weather and pattern recognition Explore the Java multi-platform feature to run your personal neural networks everywhere This step-by-step guide will help you solve real-world problems and links neural network theory to their application
Platform: | Size: 5160960 | Author: sanMatlab | Hits:

[AI-NN-PRBP神经网络

Description: 简单的BP神经网络预测天气例程,包括训练数据集和天气数据来源(Simple BP neural network weather prediction routine, including training data set and weather data source)
Platform: | Size: 8192 | Author: Gustinouz | Hits:

[matlabMATLAB雾霾交通标志shibie[GUI]

Description: 该课题为基于MATLAB bp神经网络的雾霾天气下交通标志的识别系统。主要分两步骤,一是进行图像去雾,采用暗通道的方法获取光透射率,从而去除雾霾。得到清晰的图片后,利用颜色的方法进行交通标志的定位,众所周知,交通标志基本是红,蓝,黄三色组成,根据RGB不同组合可以定位到不同颜色,因为存在误差,所以需要借助形态学相关知识,将得到的误干扰面积去除,从而实现精准定位。定位后,在原图基础上进行分割出彩色图标,利用bp神经网络方法,进行训练,识别,从而得出结果。本设计配有一个GUI可视化界面,操作简单容易上手。是个不错的选题。(This project is a traffic sign recognition system based on Matlab bp neural network in haze weather. There are two steps. One is image defogging, and the dark channel method is used to obtain light transmittance to remove haze. After getting clear pictures, use color method to locate traffic signs. As we all know, traffic signs are basically composed of red, blue and yellow. According to different combinations of RGB, different colors can be located. Because there are errors, we need to use morphological knowledge to remove the error interference area, so as to achieve accurate positioning. After positioning, the color icon is segmented on the basis of the original image. The BP neural network method is used to train and identify the color icon, and the result is obtained. This design is equipped with a GUI visual interface, which is easy to operate. It's a good topic.)
Platform: | Size: 83507200 | Author: 可乐一生 | Hits:

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