Learning from training query in Meta search using Artificial neural network

Search Engines are widely used for retrieving information; Web Mining is the use full field for information retrieval by using search engine. In Meta searching user query is processed by multiple search engines, and search result merged forming a ranked list and ranked list given to the user. But the major difficulties are to find the appropriate search engine. This paper overcome the technical challenges of meta searching mainly search engine selection and provide an algorithm that learn from training data. My Algorithm is based artificial neural network and web search to provide better learning search result than previous.