Modeling Package 4:

Artificial Neural Networks Custom Modeling Package

Are you looking for accurate and effective solutions to your complex problems?

Artificial Neural Networks (ANNs) might just be the answer you need. ANNs have proven to be powerful tools in a wide range of applications, from predicting stock prices to diagnosing diseases. At our website, we specialize in creating custom ANNs that are tailored to your specific needs. Our team of experts has years of experience in developing and implementing ANNs, ensuring that you receive accurate and reliable results.

When you order an ANN-based model from us, you will receive the following:

  1. Final model file applicable in MATLAB software
  2. Numerical coefficients extracted from the model to be presented in the form of tables
  3. Images in editable fig format as well as JPEG format
  4. Details of numerical findings in the form of regression graphs in fig and JPEG formats, as well as Excel results tables

To place a modeling order, you should have the following information:

Numerical Database

To ensure that your model is successful, we require that you have a numerical database that is both valid and reliable.


We recommend that you provide as much information as possible about the problem you are trying to solve, including any relevant background information, data sources, and problem constraints.

To order a neural network model, simply choose one of the following order options:

Plan 1

Creating a neural network model and extracting network coefficients and matrix relationships

Plan 2

Carrying out sensitivity analysis and presenting the results along with the relevant figure

Plan 3

Creating a neural network model, performing advanced statistical analysis on the final model, and extracting regression mathematical relationships from the model

Plan 4

Determining the percentage of relative importance of the parameters on the target variable in terms of percentage

Plan 5

Creating a hybrid model (neural network based on optimization algorithms)

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