Code for Computer Science

Learn Quantum Cat Swarm Optimization Algorithm Step-By-Step using Example Video Chapters: QCSO 00:00 Introduction 01:29 Cat Swarm Optimization 06:34 Quantum Cat Swarm Optimization 08:46 Quantum Computing Principles 12:12  What is Quantum Bit (Qubit)? 12:46 Quantum Population Initialization 16:26 QCSO Advantages 17:05 QCSO Applications 17:20 Conclusion ns 17:20 Conclusion

Video Chapters: Soft Computing Module 2 - Neural Networks 00:00 Introduction 00:39 Topics Covered in Video 01:19 Neural Network Basics 05:12 Problem 01 - Calculate Net Input to Output Neuron 06:33 Artificial Neural Network Terminologies 06:54 Weights 07:59 Bias 08:13 Threshold 08:33 Learning Rate 08:49 Momemtum Factor 09:03 Problem 02 - Calculate Output of Neuron (Y) using Activation Function 09:30 Activation Function 12:42 Problem 02 - Solution 15:25 Neural Network Types 15:38 Simple Neural Network 16:08 Single Feedforward Neural Network 16:41 Multilayer Feedforward Neural Network 17:21 Single Layer Recurrent Network 17:50 Multilayer Recurrent Network 17:52 Perceptron 21:57 Multilayer Perceptron 22:15 Adaline -Its Training and Capabilities 22:59 Conclusion

Find the maximum value for the objective function using Particle Swarm Optimization Step-By-Step. Video Chapters: Find the Maxima of Function using the PSO Method 00:00 Introduction 02:18 Objective 03:17 Maximization Problem 04:22 Particle Swarm Optimization Steps 05:22 Step 1 - Objective Function 05:30 Step 2 - Position and Velocity Initialization 06:00 Step 3 - Fitness Calculation 07:06 Step 4 - Update Personal Best 07:16 Step 5 - Update Global Best 07:42 Step 6 - Position Update 10:34 Step 7 - Solution Boundary Checking 10:53 Step 8 - New Solution Evaluation 11:31 Step 9 - Update Personal Best 12:12 Step 10 - Update Global Best 13:24 Iteration 2 Start - Position Update 14:45 New Solution Boundary Checking 15:24 New Solution Fitness Calculation 15:48 Update Personal Best 16:32 Update Global Best 17:42 Conclusion Problem: Find the Maxima of the function � ( � ) = � 2 + 2 � + 11 f ( x ) = x 2 + 2 x + 11 � ( � ) = � 2 + 2 � + 11 f ( x ) = x 2 in the range -2<=x<=2 using PSO m