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Nash Equilibrium In Game Theory ~xRay Pixy

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 Video Link  CLICK HERE... Learn Nash Equilibrium In Game Theory Step-By-Step Using Examples. Video Chapters: Nash Equilibrium  00:00 Introduction 00:19 Topics Covered 00:33 Nash Equilibrium  01:55 Example 1  02:30 Example 2 04:46 Game Core Elements 06:41 Types of Game Strategies 06:55  Prisoner’s Dilemma  07:17  Prisoner’s Dilemma Example 3 09:16 Dominated Strategy  10:56 Applications 11:34 Conclusion The Nash Equilibrium is a concept in game theory that describes a situation where no player can benefit by changing their strategy while the other players keep their strategies unchanged.  No player can increase their payoff by changing their choice alone while others keep theirs the same. Example : If Chrysler, Ford, and GM each choose their production levels so that no company can make more money by changing their choice, it’s a Nash Equilibrium Prisoner’s Dilemma : Two criminals are arrested and interrogated separately. Each has two ...
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Neuro Fuzzy Hybrid System for Water Heater Control System ~xRay Pixy

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Water heater control system using Neuro Fuzzy Hybrid System. Video Chapters: 00:00 Introduction 01:38 Hybrid Approach 02:37 Neural Network 03:08 Neural Network Components 05:38 Fuzzy Logic 12:09 Neuro-Fuzzy Hybrid System 14:16 Numerical Example 22:22 Conclusion A neuro-fuzzy hybrid system, also known as a neuro-fuzzy system or fuzzy neural network, combines the principles of neural networks and fuzzy logic to create a more robust and versatile system for solving complex problems, particularly in the field of artificial intelligence and control systems. This hybrid approach aims to take advantage of the strengths of both neural networks and fuzzy logic to handle uncertainty, nonlinearities, and complex patterns effectively. The key components and concepts involved in a neuro-fuzzy hybrid system: Neural Networks Neural networks are computational models inspired by the human brain's structure and functioning. They consist of interconnected nodes (neurons) organized into layers, i...
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