A reinforced concrete member in which the total span or shear span is especially small in relation to its depth is called a deep beam. In this study, a new approach based on the Adaptive Neural Fuzzy Inference System (ANFIS) is used to predict the shear strength of reinforced concrete (RC) deep beams. A constitutive relationship was obtained correlating the ultimate load with seven mechanical a...

The floor beams of steel buildings, cold-formed steel floor joists in particular, often require large web openings, which may affect their shear capacities. A cost effective way to mitigate the detrimental effects of such openings is to weld/fasten reinforcements. A difficulty associated with an experimental investigation to establish suitable reinforcement schemes for openings in shear zone is...

The web contains enormous amount of information. From that enormous information only small amount of that information is visible to users and a huge portion of the information is not visible to the users. This is because traditional search engines are not able to index or access all information. The information which can be retrieved by following hypertext links are accessed by such traditional...

Information overload is no longer news; the explosive growth of the Internet has made this issue increasingly serious for Web users. Recommender systems aim at directing users through this information space, toward the resources that best meet their needs and interests. In this chapter we introduce our novel machine learning perspective toward the web recommendation problem, based on reinforcem...

With the rapid growth of the World Wide Web, the amount of information available online is increasing with an enormous pace. Recommender systems aim at pruning this information space and directing users toward the items that best meet their needs and interests. In this paper we propose a novel machine learning perspective toward the problem, based on reinforcement learning. We model the problem...

In this paper we study Relational Reinforcement Learning in a multi-agent setting. There is growing evidence in the Reinforcement Learning research community that a relational representation of the state space has many benefits over a propositional one. Complex tasks as planning or information retrieval on the web can be represented more naturally in relational form. Yet, this relational struct...

The amount of accessible information on World Wide Web is increasing rapidly, so that a general-purpose search engine cannot index everything on the Web. Focused crawlers have been proposed as a potential approach to overcome the coverage problem of search engines by limiting the domain of concentration of them. Focused crawling is a technique which is able to crawl particular topical portions ...

Web development is promoting important advantages for educational area specially e-learning systems. By one side Learning Objects (LOs) aim the possibility to reuse specific information and by the other side they can be interchanged though different context and platforms according to the user’s needs. However an urgent necessity exists to guarantee the LOs quality content. There exists a pletho...

This paper attempt to predict the shear strength of high strength concrete beam with different shear span of depth ratio without web reinforcement. The large data base available has been clustered and a linear equation analysis has been performed . The prepared models are functions of compressive strength , percentage of flexural reinforcement and depth of beam. The proposed models have been va...