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 Cost Prediction by Machine Learning. Using Machine Learning Techniques for Early Cost Prediction of Structural Systems of Buildings
Наименование:

Cost Prediction by Machine Learning. Using Machine Learning Techniques for Early Cost Prediction of Structural Systems of Buildings

автор Sevgi z. издательство Книга по Требованию Прочие виды транспорта
Cтраниц 124        мягкая обложка       
Аннотация:The performance of the ANN model was enhanced by experimenting with the weight generation methods of simplex optimization, back propagation training, and genetic algorithms while the CBR model was augmented by feature counting, gradient descent, genetic algorithms, decision tree methods of binary-dtree, info-top and info-dtree. The book investigates the possibility of predicting the cost of construction early in the design phase by using machine learning techniques. Cost data belonging to the superstructure of low-rise residential buildings were used to test these models. Both approaches were found to be capable of providing high prediction accuracy. A comparison of the ANN and CBR models was made in terms of prediction accuracy, preprocessing effort, explanatory value, improvement potentials and ease of use. It is desirable to predict construction costs in the early design stage to make sure that target costs are met. Therefore, artificial neural network (ANN) and case based reasoning (CBR) prediction models were developed in a spreadsheet-based format. An investigation of the impacts of weight generation methods on the ANN and CBR models was conducted.
Автор: Sevgi z.
Издательство: Книга по Требованию
Год:2009
Цена:
2415 руб
Нет в наличии
Поиск: Cost Prediction by Machine Learning. Using Machine Learning Techniques for Early Cost Prediction of Structural Systems of Buildings
НОВЫЙ ГОД СИМВОЛ 2013 ГОДАУКРАШЕНИЯ
КАРНАВАЛ НА НОВЫЙ ГОД РАСПРОДАЖА
Ортомолекулярная медицина Orthomol Устрание причин заболеваний. Ортомоль это новый метод для лечения и профилактики болезней. Orthomol - ортомолекулярная медицина.
Правовой статус работника и работодателя

Как правило, на каждом предприятии помимо основного жалованья (base salary) (Ro hschild D., Merriefield L., Craver Ch. Collec ive Bargai i g a d Labor Arbi ra io . Р. 732) в коллективный договор включают и систему стимулирующих выплат (i ce ive sys em) (Ibid. P. 675). Размер установленного жалованья, обычно является величиной твердой, он не зависит от колебаний конъюнктуры и итогов деятельности компании. Система материального вознаграждения, по мнению американских специалистов, должна удовлетворять следующим требованиям: . поощрять работников к более усердной работе; . платить "более либерально", когда дела компании идут хорошо, и "менее либерально", когда результаты недостаточно высокие; . не платить за усилия, а платить за результаты, и главным образом за те, которые выражаются в прибыли. Для управленцев в качестве стимулирующего фактора предусмотрена выплата наградных (bo uses) в различных формах: деньгами, в виде акций, права на доход от прибыли. Компании стараются не разглашать порядок определения размера бонусов, так как здесь затрагивается вопрос о механизме перераспределения прибыли.
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