110 Copyright © 2015, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. Chapter 7 A Web-Based Intelligent Educational Laboratory System for Forecasting Chaotic Time Series ABSTRACT In the context of Chaos Theory and its applications, forecasting time series of a chaotic system is an attractive work area for the current literature. Many diferent approaches and the related scientifc studies have been introduced and done by researchers since the inception of this working area. Newer studies are also performed in order to provide more efective and efcient approaches and improve the related literature in this way. On the other hand, it is another important research point to ensure ef- fective educational approaches for teaching Chaos Theory and chaotic systems within the associated courses. In this sense, this chapter introduces a Web-based, intelligent, educational laboratory system for forecasting chaotic time series. Briefy, the system aims to enable students to experience their own learning process over the Web by using a simple interface. The laboratory system employs an Artifcial Intelligence-based approach including a Single Multiplicative Neuron System trained by Intelligent Water Drops Algorithm in order to forecast time series of chaotic systems. It is possible to adjust parameters of the related Artifcial Intelligence techniques, so it may possible for students to have some knowledge about Artifcial Intelligence and intelligent systems. INTRODUCTION Chaos Theory is an important research field in Mathematics employing many applications in different disciplines like Physics, Engineering, Economics, Biology…etc. Its scope is based on scientific studies associated with the search on behavior of nonlinear dynamical systems, which are highly sensitive to their initial conditions (chaotic systems). In time several kinds of sub- working fields have also been introduced within the context of research studies on the Chaos Theory. Utku Kose Usak University, Turkey Ahmet Arslan Selcuk University, Turkey DOI: 10.4018/978-1-4666-6276-6.ch007