This website's tutorials courses will help you master zero to one hundred computational intelligence techniques, model your scientific projects and dissertations effortlessly, and produce high-quality scientific publications. This collection of strategies is not limited to a single field or scientific field, and you can profit from utilising these collections to expand your knowledge and create a different article in every direction you work.
About Tutorials Order NowBased on years of research experience and the publication of numerous articles, our team has the necessary expertise and knowledge in the field of creating and building models based on computational intelligence, and it is able to guide and direct you in choosing the right model for the problem, defining the model, creating and building it, as well as extracting the necessary specifications from the determined model. If you wish to use computational intelligence structures in your research, you can make a purchase on this page and benefit from the experience of our team.
Modeling OrderComputational intelligence techniques are constantly evolving and improving in all scientific domains because to their power, great ability, flexibility, accuracy, and special qualities. In fact, these strategies can be found in almost any discipline of study. There are numerous books, articles, and resources available that can be begun by devoting a significant amount of time to studying them, modelling connected to computational intelligence approaches offered on this website. Following this path and comprehending the subject, a practical point of view emerges, and the question comes, how can I apply these approaches to implement my research problem and thesis? The lecturers of this series have been responsible for compiling the content and delivering these educational series due to their academic experience in teaching, creating books, refereeing, and publishing scientific publications connected to applied computing intelligence in respected journals. The main attitude of the teachers of the educational collections present in this knowledge base is to create a practical understanding for modelling with the help of the presented techniques, and along with this issue, they explain the coding process from zero to one hundred in a very different way, apart from expressing many points,
they provide straightforward instruction. It is also stated that each article based on such strategies outlines what components are included and what can be given in each part.
Tutorial No. 3:
Watch the video below to learn more about tutorial No. 3: Optimization
Tutorial No. 2:
Watch the video below to learn more about tutorial No. 2: Fuzzy Systems
Tutorial No. 1:
Watch the video below to learn more about tutorial No. 1: Neuro-Fuzzy Models (ANFIS system)
Neuro-fuzzy systems are an alternate solution to traditional statistical approaches such as regression, which allow the capability of providing a solution to a problem in a mathematical framework, the scientific sectors that now use these systems. It is used so frequently that it is hard to mention all of them. Engineering, biology, medicine, energy, water, natural disasters, and nutrition science are a few examples. The technique given in this training series is the most well-known neuro-fuzzy system, with studies about it appearing in journals such as Nature and Science. These methods are based on a combination of two approaches, artificial neural networks and fuzzy systems. As a result, in a neuro-fuzzy system, the neural network's learning ability and the fuzzy system's inference ability are combined to generate models with more capabilities. After completing this course, you will be able to apply the offered technique to your problem and produce great articles based on it.
Duration: 3 hours and 18 minutes
Chapters:
Part 1: Introduction, computational details and applications
Part 2: Implementation in MATLAB
Part 3: How to write an article with the ANFIS approach
Part 4: Extracting the mathematical framework and presenting it in scientific articles
Part 5: ANFIS modeling based on Transit Search (2022) optimization algorithm
Fuzzy systems are seen as a revolutionary approach in our approach to solving problems. Prior to the invention of the fuzzy system, it was almost impossible to include human knowledge in computations and modeling of nonlinear problems based on how the human brain infers. A fuzzy system's unique qualities include the lack of a database and the ability to define a set of rules for problem-solving. This approach is applicable to various fields and has earned its Iranian-Azerbaijani originator, Professor Lotfi Ali Askarzadeh, more than fifty honorary doctorates (during his lifetime). This tutorial is about fuzzy systems. In this regard, its structural features, modelling process, and elements details are given. In addition to solving the problem, the approach of defining the fuzzy system using optimisation algorithms is described. After completing this course, you will be able to apply the offered technique to your situation and write articles about it.
Duration: 3 hours and 45 minutes
Chapters:
Part 1: What is a fuzzy system?
Part 2: Implementation in MATLAB
Part 3: The information you should provide for the readers of your fuzzy articles.
Part 4: Fuzzy systems modeling based on Transit Search (2022) optimization algorithm
Finding the best solution to a problem is a critical but time-consuming goal. This is noticeable when traditional optimisation techniques lose their effectiveness, prompting researchers to develop new optimization techniques. The rationale for this is that such approaches can achieve the requisite precision and close approximation to the best solution. Many studies have been undertaken to develop algorithms due to the importance of optimisation, and close competition in this subject is ongoing in the scientific community. In terms of optimisation applications, this tutorial series presents a novel optimisation algorithm (released in 2022). This collection includes information about this algorithm and its implementation training, as well as a number of unconstrained and constrained challenges ranging from coding to optimisation. After completing this course, you will be able to execute your problem using the optimization technique given.
Duration: 4 hours and 58 minutes
Chapters:
Part 1: Introduction to optimization
Part 2: Transit method in astrophysics
Part 3: Transit Search optimization algorithm
Part 4: Implementation of TS algorithm in MATLAB
Part 5: Coding and solving 10 unconstrained problems in MATLAB
Part 6: Coding and solving 10 bounded problems in MATLAB
The powerful performance of computational intelligence-based methodologies has resulted in significant growth in a variety of scientific fields. Because of the unquestionable importance of such procedures in the most modern scientific challenges, the necessity to become acquainted with their content has grown in recent years.
One of the main purposes of the collections offered has been to study in a very practical and principled approach, away from extraneous stuff. By seeing these collections, you will not only become acquainted with the approaches, but you will also learn how to practically implement and solve the substance of a scientific problem.
Time is one of the most valuable human assets, and failing to value it is one of the major flaws in the majority of present training courses. This is one of the concerns of the website's instructors, and every effort has been made to select the most optimal time for each instruction.
The ability to write articles is one of the primary aims in the academic community, particularly in the graduate education department. They have advanced the training immediately from the point of view of producing the article in the educational collections of this website, ignoring the presentation of preliminary and elementary instances. As a result, after completing each course, you will be able to produce a high-level scientific essay.
After purchasing each course, the applicant will receive all of the codes written during the training process, as well as the necessary training videos, to use for modelling. For all researchers, the method of writing codes is quite straightforward and understandable. As a result, you will have no trouble resolving your problem using these codes.
Today, no one can deny the importance of artificial intelligence in human life. Even in the most mundane everyday digital operations, the presence of an AI algorithm and virtual assistants is immediately discernible. As a result, we can no longer avoid artificial intelligence and its role, and the moment has come to enter the world of this essential component of human life today.
By supplying the appropriate parameters in this section, you can delegate the modelling of your problem to our team. You may also register your request for an appointment to fix modelling problems or a free consultation in the field of model choosing.
Because of their high accuracy and optimal performance, sophisticated computational models and structures based on artificial neural networks have been published in authoritative sources and remain of interest to the academic community.
You can profit from our team's experience in this sector by ordering a neural network-based model for your problem on this website. After modelling, you will have access to the following items:
- Final model file applicable in MATLAB software
- Numerical coefficients extracted from the model to be presented in the articles in the form of tables
- Images in editable fig format as well as JPEG format
- Details of numerical findings in the form of regression graphs in fig and JPEG formats, as well as Excel results tables
To order the model:
- You must have a numerical database
- The data must be valid and reliable
Order options (specify your order type):
1- Creating a neural network model and extracting network coefficients and matrix relationships
2- Carrying out sensitivity analysis and presenting the results along with the relevant figures
3- Creating a neural network model, performing advanced statistical analysis on the final model and extracting regression mathematical relationships from the model
4- Determining the percentage of relative importance of the parameters on the target variable in terms of percentage
5- Creating a hybrid model (neural network based on optimization algorithms)
Fuzzy systems are one of the tutorial courses available on this website. If you don't have enough time to construct a fuzzy model for your desired situation, you can use this website to place a modeling order.
After that, you will have access to the following items:
- Final model file applicable in MATLAB software
- Numerical coefficients related to membership functions in table form
- Fuzzy rules database information
- Images related to membership functions in fig and JPEG format
To order modeling:
- You must have numerical information about the values of the variables in order to be able to measure the final accuracy of the model based on it
- Necessary information related to the rules database should be available
- Necessary information related to membership functions should be available
In case of lack of sufficient knowledge regarding the base of rules governing the problem as well as the membership functions of the variables, you can benefit from the optimized fuzzy systems by having a database of numerical information of the input and output variables of the problem. For this, register the modeling order based on the optimization algorithm on this website.
Order options (specify your order type):
1- Creating a fuzzy model and extracting the complete details of the model
2- Carrying out sensitivity analysis and presenting the results along with figures
3- Creating a hybrid model (fuzzy system and optimization algorithm)
ANFIS is one of the tutorial courses available on this website. If you lack the time to construct such a calculating structure for your desired problem, you can place a modelling order on this website.
After modelling, you will have access to the following items:
- Final model file applicable in MATLAB software
- Numerical coefficients related to membership functions in table form
- Details and coefficients related to linear equations in the results section of the rules
- Fuzzy rules database information
- Images related to membership functions in fig and JPEG format
To order modeling:
- You must have a numerical database
- The data must be valid and reliable
Order options (specify your order type):
1- Creating an ANFIS model and extracting the full details of the model
2- Carrying out sensitivity analysis and presenting the results along with figures
3- Creating a hybrid model (ANFIS system and optimization algorithm)
Another educational package available on this website is concerning optimisation algorithms. If you have specified the objective function of the problem and want to find the best solution, you can submit your modelling order to our team.
Transit Search, an astrophysics-based method that was released in 2022, is our proposed optimisation algorithm. Register your order if you wish to develop an ideal model using this approach.
After modelling, you will have access to the following items:
- Final model file applicable in MATLAB software
- Numerical coefficients extracted from the model to be presented in the articles in the form of tables
- Images and figures in editable fig format as well as JPEG format
- Details of numerical results in the form of regression graphs in fig and JPEG format along with results tables in Excel
To order the model:
- You must have a specific objective function
- The change range of the variables should be clear
- The specifications of adverbs (if any) should be available
Order options (specify your order type):
1- Optimizing and determining the response vector for unconstrained single objective problem
2- Optimizing and determining the response vector for the constrained single-objective problem
3- Optimization and determination of response vector for unconstrained multi-objective problem
4- Optimizing and determining the response vector for the constrained multi-objective problem
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