AI-Based Information Systems

Improving Search-Based AI Systems

AI-Knowledge Based Systems at BHP CPD

A surface level expert system has been developed to judge the feasibility of automating the design of new nonstandard product routings. The main goal in this domain is to design or plan an appropriate sequence of processing units to be used in the manufacture of non-standard products. Each product order has associated with it a description of the desired steel product based on a range of mechan...

designing unmanned aerial vehicle based on neuro-fuzzy systems

در این پایان نامه، کنترل نرو-فازی در پرنده هدایت پذیر از دور (پهپاد) استفاده شده است ابتدا در روش پیشنهادی اول، کنترل کننده نرو-فازی توسط مجموعه اطلاعات یک کنترل کننده pid به صورت off-line آموزش دیده است و در روش دوم یک کنترل کننده نرو-فازی on-line مبتنی بر شناسایی سیستم توسط شبکه عصبی rbf پیشنهاد شده است. سپس کاربرد این کنترل کننده در پهپاد بررسی شده است و مقایسه ای ما بین کنترل کننده های معمو...

Fuzzy Systems in AI

This paper reviews motivations for introducing fuzzy sets and fuzzy logic to knowledge representation in artificial intelligence. First we consider some areas of successful application of conventional approaches to system analysis. We then discuss limitations of these approaches and the reasons behind these limitations. We introduce different levels of representation for complex systems and dis...

Information Extraction with AI Planning

Autonomous information systems, which answer complex queries by extracting information from electronic sources written in natural language, must be designed for maximum flexibility and adaptivity. This paper proposes an approach that is based upon the library of elementary document processing modules organized adaptively from query to query into an information-processing network. This network i...