Computational intelligence website focuses on computational intelligence methods. Techniques that can be used in most scientific fields. In this regard, three application sets are provided that can be used to write scientific articles and also scientific theses. In each of the three collections, the main theories along with the modeling method, mathematical frameworks and how to extract them from the system, the materials related to presenting the models scientifically in the articles, along with the coding in the MATLAB software are presented. The teaching method is such that elementary examples, erosive and time-consuming materials are avoided and emphasis is placed on teaching in a practical way by valuing the audience’s time.
The first training set is dedicated to ANFIS fuzzy neural system. This technique, which is a very efficient combination of two main sub-branches of computational intelligence, i.e. neural networks and fuzzy systems, is one of the methods used for scientific purposes related to prediction and estimation, in most scientific fields, from engineering to Economics is used. With a search on Google Scholar, it can be seen that in recent years, several articles have been published on the ANFIS approach in the most prestigious international publishers. In this training series, in which the ANFIS neural-fuzzy system is discussed, in 3 hours and 18 minutes, a training video is presented along with the executive codes in the MATLAB software, based on which, you will be able to use the above systems. From toolbox, coding (to create more advanced models), also by applying optimization algorithms, model and extract its mathematical framework. Also, important points related to the way of presenting the article based on the above calculation system are stated in this educational collection.
In the second training series, fuzzy systems are discussed. Such systems, which have brought more than 50 honorary doctorates to its creator, have the ability to enter human knowledge into the process of solving complex problems, in the form of language expressions (like the way the human brain uses it for inference). is. The range of applications of fuzzy systems and their unique capabilities have made them one of the most popular methods of solving problems based on determining the target parameter using a set of independent variables. In this educational series, which includes 3 hours and 18 minutes of educational video along with the execution codes of MATLAB software, how to model fuzzy systems with the help of toolbox, coding, as well as optimization algorithms, description and practical details are presented. .
The third training set focuses on optimization. Undoubtedly, optimization is one of the most important scientific fields that has many applications. For example, we can refer to the determination of the best possible values for the variables of a problem with the aim of reducing the cost of manufacturing a part, or problems such as reducing the weight of a Hopima wing and even obtaining the most optimal values for a computationally complex structure. The importance of optimization and its wide application doubles the need to pay attention to approximate methods such as optimization algorithms. In this educational series, one of the optimization algorithms presented in 2022 and defined and formulated based on the science of astrophysics has been presented. In this 298-minute series, after explaining the theory of this algorithm and its implementation method in MATLAB software, twenty different constrained and unconstrained benchmark problems were coded and the optimization process for them with the help of the discussed algorithm is done The executive codes of this collection are written in such a way that they are easy to understand for the audience and have a very simple editing capability to solve various optimization problems.