softcomputing

ali-ece/Design-and-modeling-of-adaptive-IIR-filtering-systems-using-a-weighted-sum-variable-length-PSO

Design and modeling of adaptive IIR filtering systems using a weighted sum - variable length particle swarm optimization

ali-ece/Designing-INS-GNSS-integrated-navigation-systems-by-using-IPO-algorithms

In this paper, an attempt is made to leverage on novel metaheuristic optimization approaches for designing integrated navigation systems. For this purpose, a simplified version of the inclined planes system optimization (called SIPO) algorithm

ali-ece/A-Modified-Inclined-Planes-system-Optimization-MIPO-Algorithm

With the aim of create a powerful trade-off between the concepts of exploitation and exploration, and rectify the complexity of their structural parameters in the standard IPO, a modified version of IPO (called MIPO) is introduced as an efficient optimization algorithm for digital infinite-impulse-response (IIR) filters model identification. The MIPO utilizes an appropriate mechanism based on the executive steps of algorithm with the constant damp factors.

A-GHOSH-dev/LifeAI-Multiple-Disease-Prediction-ML-AI-Software

LifeAI- Multiple Disease Detection Software

kushagragarg55/Applications-of-soft-computing-techniques-for-prediction-of-energy-dissipation-on-stepped-spillways

application of neural networks

Ahmed-Ibrahim-30/Fuzzy-Logic

A “Fuzzy Logic Toolbox” provides functions and apps for designing and simulating fuzzy logic systems. It lets the user specify and configure input variables, output variables, membership functions, rules and defuzzification methods.

kunalgupta777/Neural-Networks

This Repository contains scratch implementation of Soft Computing Lab practicals

pratap1298/lung-cancer-prediction-using-machine-learning-techniques-classification

The cancer like lung, prostrate, and colorectal cancers contribute up to 45% of cancer deaths. So it is very important to detect or predict before it reaches to serious stages. If cancer predicted in its early stages, then it helps to save the lives. Statistical methods are generally used for classification of risks of cancer i.e. high risk or low risk. Sometime it becomes difficult to handle the complex interactions of highdimensional data. Machine learning techniques can be used to overcome these drawbacks which are cause due to the high dimensions of the data. So in this project I am using machine learning algorithms to predict the chances of getting cancer.I am using algorithms like Naive Bayes, decision tree

RichardKlem/SFC

FIT VUT SFC

Lovely-Professional-University-CSE/int-246-project-Roll_No---A14_A24_B33_B60

int-246-project-Twinkle0799 created by GitHub Classroom

sumony2j/Data_Science_Journals

Curated GitHub repository showcasing Data Science journals, covering diverse topics in data science and machine learning for exploration

atulsinha007/softcomputing

kubamacek/academic-softcomputing

Academic softcomputing projects - traffic signs recognition with MLP, genetic algorithm.

sarincr/Soft-computing-using-Python

introduction to Soft Computing using Python Exercises

scandindian/Face-Recognition

Face Recognition project made in matlab using PCA algorithm

sreshtha10/AI_and_Soft_Computing_lab

Lab assignments of AI and Soft computing