sehes2solve/Fuzzy-Control-Kit-for-Project-Team-Formation-Support-System sehes2solve/Fuzzy-Control-Kit-for-Project-Team-Formation-Support-System

  • Stars
    star
    1
  • Language
    Jupyter Notebook
  • Created almost 2 years ago
  • Updated almost 2 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
sehes2solve/Fuzzy-Control-Kit-for-Project-Team-Formation-Support-System
github

sehes2solve

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Fuzzy Control Kit is based on Fuzzy Logic for building fuzzy control systems by user-defined fuzzy sets, variables & the rules defining relation among input variables & output variables.

More Repositories

1

Weapon-Target-Assignment-using-Genetic-Algorithm

Python
3
star
2

Social-Network-API-Software-Requirements-and-Design

Java
2
star
3

Production-Control-Simulation-Analysis

Simulation analysis to decide weekly production quantity of a certain product putting in consideration inventory cost & not meeting client requirements cost
Python
1
star
4

IEEE-32-bit-Floating-Point-Adder-Circuit-Design-In-Verliog-with-Simulation-Testing

Adds Nan, +Inf, -Inf, Zero & outputs Zero value if addition result is Zero (in the IEEE 32 bit floating point representation)
SystemVerilog
1
star
5

Build-CNN-Models-for-Handwritten-Digit-Classification-using-Keras

using MNIST dataset of 60,000 training set images of handwritten single digits between 0 and 9, each image is a 28x28 pixel square. 4 different architectures of CNN variant in (convolutional layers, pooling layers, filter size, ....). Apply K-folding cross-validation during training to avoid overfitted model misinterpretation.
Jupyter Notebook
1
star