In this project, an improved transformer-less single-phase single-stage grid-tied flying inductor inverter is

presented. The negative terminal of the PV array is grounded in the improved topology, which increases reliability and suppresses the leakage current. The proposed topology has buck-boost capability without increasing the number of required components and has a high efficiency. An improved control algorithm for proper operation of the proposed topology which decreases switching losses has been inves tigated. Moreover, NUERO FUZZY based MPPT algorithm has been adapted to the proposed inverter, which doesn’t utilize PI controllers, for the maximum power point tracking. Furthermore, design procedure of the passive elements of the converter based on the corresponding operating has been demonstrated. Finally, a comparison study has been investigated for better clarification of the advantages and disadvantages of the proposed inverter. Fuzzy neural network-based approach for query information filtering. The information filtering system has a simple interface for specifying user requests returned from the external search engines and then categorizing them into categories and sub-categories for giving relevant results to the user. The categorization results can be utilized for taking decisions related to service provision.