322 - PSO Using steel optimization

Code link: github.com/bns...
Finding the best alloy with maximum yield strength using Particle Swarm Optimization
In this example, we will work with the steel alloy data set.
Download from here: www.kaggle.com...
The data set contains the elemental composition of different alloys and their respective yield and tensile strengths. A machine learning model can be trained on this data, allowing us to predict the strength of an alloy based on its chemical composition. But, for this exercise, let us try to find the optimized alloy composition with the best yield strength.
Let us explore PSO:
Particle Swarm Optimization
PSO is a swarm intelligence algorithm that is inspired by the behavior of social organisms such as flocks of birds or schools of fish.
The algorithm creates a population of particles, each representing a candidate solution, that move through the search space based on their individual velocity and the collective influence of the best solutions found by the swarm.
The algorithm updates the particles' positions and velocities based on the fitness of the current solution and the local and global best solutions found so far. It aims to balance exploration and exploitation by encouraging particles to explore new regions of the search space while also following promising solutions.
PSO is suitable for solving nonlinear and dynamic optimization problems, such as in control systems, machine learning, and signal processing.
PSO has been used for feature selection, image segmentation, and classification in microscopy images. For example, it has been used to optimize the parameters of texture descriptors for image segmentation, and to select the most discriminative features for cell classification.

[@DAYYAN294]

Asslamoalaikum sir I am ayesha from Pakistan. I have learnt alot from ur tutorials. Thank u so much for ur efforts and time. Please provide some videos on segmentation of images using deep learning model like signet, unet etc.

[@Mahdi-noori-ai]

absolutely hilarious course , thanks a lot for covering this topics

[@DAYYAN294]

Please sir do model building from scratch by doing segmentation using deep learning model and then classification of objects in an image also by deep learning. Waiting for ur video .Jazakallah for ur time n efforts. May ALLAH BLESS U ALWAYS AMIN

[@chrisdsilva7114]

@DigitalSreeni I have been following your videos a lot and wanted to ask if you could do a model building from scratch? (creating the algorithm) Also can't wait for a mechanical engineering series!!

[@nagamanigonthina9306]

very clear and informative video as all the time. can you make a video on PSO with image dataset used for hyper parameter training and neural network optimization.

[@chaitanyamodiboyina300]

Sir, Please make a video on the cityscapes dataset for segmentation purpose.

[@pmibrahim3814]

Sir you're really good. I always learn something new from your valuable tutorials. Sir, Can you make two playlist for GNN image segmentation and another one is for Quantum machine learning ? . Maybe those are help us to know better update topics. Or more topics are respectively active learning, one short learning, equivariant neural network etc.... Thank you so much for your time and response sir.

[@user-mc7tg4pf3i]

Hell sir Thanks for your all videos and efforts. I am following your channel, but I request you please upload one detail video on how to finetune Yolov5 model for custome images classification.

[@leelavathi7921]

Sir can you please demonstrate hybrid optimization algorithms PSO and Firefly to demonstrate exploration and exploitation

[@DrilonQorraj]

Can you make a constraint Genitic Algorithm