International Journal of Computer Applications (0975 – 8887) Volume 152 – No.8, October 2016 25 Climate Modeling System with Adaptation of Neural Network and AI Data Mining Techniques Ahmed Mateen Department of Computer Science University of Agriculture Faisalabad, Pakistan Salman Afsar Department of Computer Science, University of Agriculture Faisalabad, Pakistan Amir Waheed Department of Computer Science, University of Agriculture Faisalabad, Pakistan Zulfiqar Ali Department of Computer Science, University of Agriculture Faisalabad, Pakistan ABSTRACT The purpose of this study is to develop a climate modeling system by using data mining techniques which are the process of extracting needed information’s from the large database. Thus, the fetching information can be used into practical knowledge for future prediction in climate scenario. It is a powerful and new technology which helps to analyze the hidden predictive information and define the rules for different group of peoples which are working like flood management, hurricane experts, scientists, farmers, weather belonging, social networking etc. to properly manage their needs according to spatial data analysis and plan their coming goals accordingly. In this paper, data mining procedures are used with generalized Neural Network technique which is useful for weather forecasting quickly with the help of data clustering and screening. Giving that investigative instrument to view and utilize this information for decision making processes by taking examples from real life. It is difficult to manage and handle huge data manually. This study gives us number of facilities for inserting, deleting, editing and saving data. This research improves the system performance and information search services which can enhance the quality by regularities in the behavior analysis with respect to time and seasonal data management with Artificial Intelligence with machine learning and pattern analysis. Keywords Data Mining, Forecasting, Prediction, Neural Network, Artificial Intelligence, Machine learning 1. INTRODUCTION The use of computer has happened to much admired and it has took activist alterations even that is not only in the pasture of knowledge although it is in every subject of individual doings. In Science and Technology Pakistan is developing. In the running age of life it is the age of information technology. For the reason is that of information technology, here, in 21 st century there are lots of revolutions, by which modern man have distorted the existence style. The use of Computer and information technology is cooperative in process of continuing mills and also for manufacture of parts of machines. Shorten delivery time improve quality, easy way of communication and generating report. The computer based system will be ideal for solving complicated problems [1]. Propose Patterns, that give us conceptual solutions to generally frequent design troubles, widely used in the field of software and hardware have been. Non-functional requirements in the design of safety-critical embedded systems as a key aspect, it is an existing design pattern concept is focused on the integration of passive effects. Perceived safety requirements, reliability, modifiability, cost, and includes the execution time [2]. Some time ago, teaching the use of technology in the information stream, and part was relatively easy. Technology has become an integral part of business processes, so to develop as a more integrated world, the information transfer process has become more complex. Now, the challenges educational institutions face explosive growth of data and maintenance data to improve the quality of decisions to use. Data mining techniques important knowledge from large data sets can be used to carry out the investigative tools [3]. Wind farm forecasting model are five different data mining algorithms. Accuracy is to develop structural analysis. Therefore, by creating a neural network model for both short and long-term forecasts outperforms the other models. Two basic methods are presented forecast: Weather forecast electricity are generated prediction data is generated directly under the direct forecasting models, and wind speed The weather forecast data which is generated with the integrated forecasting model predicts, and then the power of the wind speed. Directly integrated forecasting model forecast model is better than the forecast performance [4]. 1.1 Objectives Data mining procedures are used with generalized Neural Network technique which is useful for weather forecasting quickly with the help of data clustering and screening which is helpful for machine learning and narrate rules for climate predications. 1.2 Ease of Use Templates and text styles to format your paper is used. All margins, column widths, line spaces, and text fonts are fixed; please do not change them. You can note characteristics. For example, it is customary template measures the margin ratio. This measure and other prospects as a part of the action that can evaluate this topic using the specifications, and as an independent document. 1.3 Developed System Weather forecast for the developed system uses data mining techniques. The first part of the system based on past experiences in training for the future trend of search data to find trends that have a data mining techniques. For the purpose of this message interacts with the system via an interface. The system that the future trend of mining inputs used to search for factors that desired values are in the form obtained.