Search - genetic algorithm in neural network

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[Program doc] integrated_genetic_algorithm_GA_ycsf DL : 0: GA遗传算法资料大整合，包括基于遗传算法的模糊神经网络控制和遗传算法在图书采购决策中的应用等等，很全的遗传算法总结-GA GA large data integration, including the genetic algorithm based fuzzy neural network control and genetic algorithms in the book of the procurement decision-making, etc., are all summed up the genetic algorithm
Date : 2026-01-03 Size : 1.34mb User : leila
[Program doc] gabp DL : 0: 利用遗传算法对BP神经网络进行能优化并将其用于在特征提取中的应用-BP neural network using genetic algorithm to optimize and be used for applications in feature extraction
Date : 2026-01-03 Size : 2kb User : 郭红想
[Program doc] Machine-vision-analysis DL : 0: 硕士论文，基于机器视觉苹果检测算法的研究。主要内容包括：1、国内外研究现状及进展 2、苹果图像采集与处理 3、苹果大小与形状检测 4、粒子群优化的BP神经网络苹果颜色检测算法 5、遗传算法优化BP神经网络苹果缺陷检测算法 6、苹果检测系统的软件、硬件及界面设计-Research on Apple detection algorithm based on machine vision. The main contents include: 1, the domestic and foreign research present situation and the progress of 2, apple image acquisition and processing 3, the shape and size of Apple detection 4, particle swarm optimization of BP neural network in apple color detection algorithm 5, genetic algorithm optimization BP neural network for Apple defect detection algorithm 6, apple detection system software, hardware and interface design
Date : 2026-01-03 Size : 1.07mb User : 吕吉方
[Program doc] 12_-Fallahi-AAM-R358-SF-012211 DL : 0: The cement industry is one of the most important and profitable industries in Iran and great content of financial resources are investing in this sector yearly. In this paper a GMDH-type neural network and genetic algorithm is developed for stock price prediction of cement sector. For stocks price prediction by GMDH type-neural network, we are using earnings per share (EPS), Prediction Earnings Per Share (PEPS), Dividend per share (DPS), Price-earnings ratio (P/E), Earnings-price ratio (E/P) as input data and stock price as output data. For this work, data of ten cement companies is gathering Tehran stock exchange (TSE) in decennial range (1999-2008). GMDH type neural network is designed by 80 of the experimental data. For testing the appropriateness of the modeling, reminder of primary data were entered into the GMDH network. The results are very encouraging and congruent with the experimental results.-The cement industry is one of the most important and profitable industries in Iran and great content of financial resources are investing in this sector yearly. In this paper a GMDH-type neural network and genetic algorithm is developed for stock price prediction of cement sector. For stocks price prediction by GMDH type-neural network, we are using earnings per share (EPS), Prediction Earnings Per Share (PEPS), Dividend per share (DPS), Price-earnings ratio (P/E), Earnings-price ratio (E/P) as input data and stock price as output data. For this work, data of ten cement companies is gathering Tehran stock exchange (TSE) in decennial range (1999-2008). GMDH type neural network is designed by 80 of the experimental data. For testing the appropriateness of the modeling, reminder of primary data were entered into the GMDH network. The results are very encouraging and congruent with the experimental results.
Date : 2026-01-03 Size : 442kb User : mohammad