MATLAB neuro-fuzzy system
Budget: $30 – $250 CAD
MATLAB Neuro-Fuzzy System Development
I am seeking an experienced MATLAB developer to create a hybrid training (least square estimate and gradient descent algorithm) neuro-fuzzy system within a MATLAB environment without use of MATLAB toolboxes.
Dataset: Provided
I have a specific dataset that I would like to be used for this project. The freelancer will need to ensure that the system is trained on this dataset to achieve the desired results.
Expertise Level: Intermediate
This project requires an intermediate level of expertise in MATLAB development. The freelancer should have experience in developing neural networks and fuzzy logic systems.
Ideal Skills and Experience:
- Proficient in MATLAB development
- Experience in developing neural networks and fuzzy logic systems
- Knowledge in data classification and analysis
- Familiarity with machine learning algorithms
The freelancer should be able to deliver a functional neuro-fuzzy system that can classify the provided dataset accurately. The code should be well-documented and easy to understand for future modifications.
I am seeking an experienced MATLAB developer to create a hybrid training (least square estimate and gradient descent algorithm) neuro-fuzzy system within a MATLAB environment without use of MATLAB toolboxes.
Dataset: Provided
I have a specific dataset that I would like to be used for this project. The freelancer will need to ensure that the system is trained on this dataset to achieve the desired results.
Expertise Level: Intermediate
This project requires an intermediate level of expertise in MATLAB development. The freelancer should have experience in developing neural networks and fuzzy logic systems.
Ideal Skills and Experience:
- Proficient in MATLAB development
- Experience in developing neural networks and fuzzy logic systems
- Knowledge in data classification and analysis
- Familiarity with machine learning algorithms
The freelancer should be able to deliver a functional neuro-fuzzy system that can classify the provided dataset accurately. The code should be well-documented and easy to understand for future modifications.