System Optimal Design Approach using Knowledge-Based Genetic Neural Networks
نویسندگان
چکیده
منابع مشابه
rodbar dam slope stability analysis using neural networks
در این تحقیق شبکه عصبی مصنوعی برای پیش بینی مقادیر ضریب اطمینان و فاکتور ایمنی بحرانی سدهای خاکی ناهمگن ضمن در نظر گرفتن تاثیر نیروی اینرسی زلزله ارائه شده است. ورودی های مدل شامل ارتفاع سد و زاویه شیب بالا دست، ضریب زلزله، ارتفاع آب، پارامترهای مقاومتی هسته و پوسته و خروجی های آن شامل ضریب اطمینان می شود. مهمترین پارامتر مورد نظر در تحلیل پایداری شیب، بدست آوردن فاکتور ایمنی است. در این تحقیق ...
Using Genetic Search to Refine Knowledge-based Neural Networks
An ideal inductive-learning algorithm should exploit all available resources, such as computing power and domain-speciic knowledge, to improve its ability to generalize. Con-nectionist theory-reenement systems have proven to be eeective at utilizing domain-speciic knowledge; however, most are unable to exploit available computing power. This weakness occurs because they lack the ability to reen...
متن کاملYarn tenacity modeling using artificial neural networks and development of a decision support system based on genetic algorithms
Yarn tenacity is one of the most important properties in yarn production. This paper addresses modeling of yarn tenacity as well as optimally determining the amounts of the effective inputs to produce yarn with desired tenacity. The artificial neural network is used as a suitable structure for tenacity modeling of cotton yarn with 30 Ne. As the first step for modeling, the empirical data is col...
متن کاملConstructive Neural Networks Design Using Genetic Optimization
A new approach for designing feedforward neural networks using genetic algorithms has been proposed. In previous attempts to design neural networks using genetic algorithms, the objective was to optimize the complete architecture at once which is a large optimization problem. In contrast, in the proposed algorithm the objective is reduced is to design a neural network through a sequence of smal...
متن کاملA DSS-Based Dynamic Programming for Finding Optimal Markets Using Neural Networks and Pricing
One of the substantial challenges in marketing efforts is determining optimal markets, specifically in market segmentation. The problem is more controversial in electronic commerce and electronic marketing. Consumer behaviour is influenced by different factors and thus varies in different time periods. These dynamic impacts lead to the uncertain behaviour of consumers and therefore harden the t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Applied Sciences
سال: 2013
ISSN: 1812-5654
DOI: 10.3923/jas.2014.82.88