ANN Custom Modeling Package


If you do not have sufficient time to create a neural network-based computational structure for your specific problem, you can request the modeling of it from our team. In the Computational Intelligence website, researchers and scholars can refer their complex problems and projects that require precise and intelligent modeling using neural networks to our specialized team through the Neural Network Modeling Service. This service is designed for researchers seeking accurate and intelligent modeling of complex problems using neural networks. Our team, utilizing exceptional experiences, will enable accurate modeling of intricate problems. To register and use this service, you need to provide the specifications and details of your problem through the Pre-order Form. After project feasibility assessment, a unique code will be sent to you. Afterward, you can proceed with the final order registration. Our goal is to provide optimal and tailored solutions to enhance your projects and research endeavors.

Important Points to Consider Before Ordering Modeling Services

Before placing an order, a feasibility check for creating a neural network model for the researcher’s specific problem needs to be conducted by our team. To initiate this process, please complete and submit the form below. After reviewing the problem’s conditions, a unique order registration code will be sent to you. The maximum time required for the review process is 7 working days.

For example, Feed Forward, CNN, RNN, ...
For example, numeric data, images, audio, ...

Requirements for Presenting a Neural Network Model

The description of the problem

A detailed and comprehensive explanation of the problem intended for modeling

The data and inputs

Information about the variables that will be used as inputs for modeling

The modeling objective:

Specify the precise goals you expect to achieve from the model

Model Parameters

Identify and describe the essential parameters that will influence the model's outcomes

Algorithms and Required Techniques

Explanation of the necessary algorithms and techniques for modeling and the rationale behind their selection

Timeline and Constraints

Setting the time for model execution along with specifying related constraints

Technical Details

Providing technical implementation details and specifics of the techniques for use in the model

Results and Interpretation

Introducing and interpreting the results obtained from the model and comparing them to the intended objectives

Evaluation and Model Correction

Methods and strategies for evaluating the accuracy and efficiency of the model and correcting it if necessary

Modeling Process

Explanation of the necessary process for training the model using the desired data

After the modeling, you will receive:

  1. Final Model: The completed model based on the requested platform.

  2. Figures and Tables: Relevant visuals and tables associated with the model, aiding in understanding the model’s structure and performance.

  3. Detailed Numerical Information: In-depth numerical details of the model, including parameters, equations, and other relevant information.

  4. Post-Delivery Revisions: The provision to request modifications or alterations to the initial model within a 7-day period after the delivery of the model.

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