Posts

Showing posts from April 16, 2021

New Post

Confusion Matrix with Real-Life Examples || Artificial Intelligence || ~...

Image
Learn about the Confusion Matrix with Real-Life Examples. A confusion matrix is a table that shows how well an AI model makes predictions. It compares the actual results with the predicted ones and tells which are right or wrong. It includes True Positive (TP), False Positive (FP), False Negative (FN), and True Negative (TN). Video Chapters: Confusion Matrix in Artificial Intelligence 00:00 Introduction 00:12 Confusion Matrix 03:48 Metrices Derived from Confusion Matrix 04:26 Confusion Matrix Example 1 05:44 Confusion Matrix Example 2 08:10 Confusion Matrix Real-Life Uses #artificialintelligence #machinelearning #confusionmatrix #algorithm #optimization #research #happylearning #algorithms #meta #optimizationtechniques #swarmintelligence #swarm #artificialintelligence #machinelearning

Sparrow Search Algorithm: New Optimization Algorithm 2021

Image
 Sparrow Search Algorithm Sparrow Search Algorithm is inspired by the foraging behaviors of Sparrows. 2 Types of Sparrow according to their roles in foraging:  Producers (they collect food from different sources) Scroungers ( obtain food discovered by producers ) OUTPUT: Best Position and Fitness value. Viedo Link:  https://youtu.be/Yxy0kszRzdY Sparrow Search Algorithm Steps Step 01: Initialize Sparrows population Randomly & its Parameters.  Step 02: Calculate fitness values for each agent.  Step 03: Update Sparrow Location for Producers and Scroungers in the search space.  Step 04 : Update Current New Location. Step 05 : If New Location is Better than before. [Update it] Step 06 : Increment Counter i.e., t = t + 1. [until condition satisfy (t<MaxT)]. Step 07: Return Current Best Position (𝑋_𝐵𝑒𝑠𝑡) and Fitness Value (𝑓_𝑔).  New Optimization Algorithm 2021 #SSA #Sparrowsearchalgorithm #OptimizationAlgorithm  #Metaheuristic #Algorithms ...
More posts