softcomputing
There are 0 repository under softcomputing topic.
Amey-Thakur / ARTIFICIAL-INTELLIGENCE-AND-SOFT-COMPUTING-AND-ARTIFICIAL-INTELLIGENCE-AND-SOFT-COMPUTING-LAB
CSC703: Artificial Intelligence and Soft Computing [AISC] & CSL703: Artificial Intelligence and Soft Computing Lab [AISC Lab] <Semester VII>
Language:Python 13ali-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
Language:MATLAB 10With 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.
Language:MATLAB 4In 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
Language:MATLAB 4A-GHOSH-dev / LifeAI-Multiple-Disease-Prediction-ML-AI-Software
LifeAI- Multiple Disease Detection Software
Language:Jupyter Notebook 2kushagragarg55 / Applications-of-soft-computing-techniques-for-prediction-of-energy-dissipation-on-stepped-spillways
application of neural networks
Language:Jupyter Notebook 2Ahmed-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.
Language:Java 1kunalgupta777 / Neural-Networks
This Repository contains scratch implementation of Soft Computing Lab practicals
Language:Jupyter Notebook 1pratap1298 / 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
Language:R 1RichardKlem / SFC
FIT VUT SFC
Language:Python 1Lovely-Professional-University-CSE / int-246-project-Roll_No---A14_A24_B33_B60
int-246-project-Twinkle0799 created by GitHub Classroom
Language:JavaScript 0sumony2j / M.Sc_Data_Science_Journals
Curated GitHub repository showcasing M.Sc. Data Science journals, covering diverse topics in data science and machine learning for exploration
0- Language:Python
kubamacek / academic-softcomputing
Academic softcomputing projects - traffic signs recognition with MLP, genetic algorithm.
Language:Pythonsarincr / Soft-computing-using-Python
introduction to Soft Computing using Python Exercises
Language:Jupyter Notebookscandindian / Face-Recognition
Face Recognition project made in matlab using PCA algorithm
Language:MATLABsreshtha10 / AI_and_Soft_Computing_lab
Lab assignments of AI and Soft computing
Language:Python
