What Is Fuzzy Logic? | Fuzzy Logic, Part 1
This video introduces fuzzy logic and explains how you can use it to design a fuzzy inference system (FIS), which is a powerful way to use human experience to design complex systems. Designing a FIS does not require a model, so it works well for complex systems with underlying mechanisms t
From playlist Fuzzy Logic
Introduction to Fuzzy Logic, Fuzzy Logic System, Fuzzy Logic Controller
This video is about the introduction of Fuzzy Logic System which is also referred as Fuzzy Inference System. The basic concept of fuzzy sets and the working principle of a Fuzzy Logic System (Fuzzy Inference System) will be described. A fuzzy controller implemented by a Fuzzy Logic System
From playlist Fuzzy Logic
Fuzzy Logic Controller Tuning | Fuzzy Logic, Part 4
Cover the basics of data-driven approaches to fuzzy logic controller tuning and fuzzy inference systems. See how to tune fuzzy inference parameters to find optimal solutions. Learn how optimization algorithms, like genetic algorithms and pattern search, can efficiently tune the parameters
From playlist Fuzzy Logic
Fuzzy control of inverted pendulum
Fuzzy control of inverted pendulum, State-feedback controller is designed based on T-S fuzzy model with the consideration of system stability and performance.
From playlist Demonstrations
Fuzzy Logic Examples | Fuzzy Logic Part 3
Watch this fuzzy logic example of a fuzzy inference system that can balance a pole on a cart. You can design a fuzzy logic controller using just experience and intuition about the system—no mathematical models necessary. Fuzzy Logic Toolbox: https://bit.ly/3kypWT4?s_eid=PSM_15028 -------
From playlist Fuzzy Logic
Artificial Pancreas Control Using Fuzzy Logic
Design an artificial pancreas nonlinear control system in Simulink® using fuzzy logic. Design a complex fuzzy logic controller by combining two smaller interconnected fuzzy systems in a fuzzy tree. Automatically tune the membership function parameters and rules of a fuzzy inference system.
From playlist AI, Machine Learning, Data Science | Developer Tech Showcase
Fuzzy Logic Systems - Part 1: Introduction
This video is about Fuzzy Logic Systems - Part 1: Introduction
From playlist Fuzzy Logic
Fuzzy control of inverted pendulum,
Fuzzy control of inverted pendulum, State-feedback controller is designed based on T-S fuzzy model with the consideration of system stability and performance. Details can be found in https://nms.kcl.ac.uk/hk.lam/HKLam/index.php/demonstrations
From playlist Demonstrations
Fuzzy Logic Systems - Part 2: Fuzzy Inference System
This video is about Fuzzy Logic Systems - Part 2: Fuzzy Inference System
From playlist Fuzzy Logic
27c3: A framework for automated architecture-independent gadget search (en)
Speaker: kornau We demonstrate that automated, architecture-independent gadget search is possible. Gadgets are code fragments which can be used to build unintended programs from existing code in memory. Our contribution is a framework of algorithms capable of locating a Turing-complete ga
From playlist 27C3: We come in peace
Isabelle Bloch - Hybrid AI for Knowledge Representation and Model-based Image Understanding - (...)
This presentation will focus on hybrid AI, as a step towards explainability, more specifically in the domain of spatial reasoning and image understanding. Image understanding benefits from the modeling of knowledge about both the scene observed and the objects it contains as well as their
From playlist 8th edition of the Statistics & Computer Science Day for Data Science in Paris-Saclay, 9 March 2023
Sublime Text Basics: All the Best Features in One Video
Just installed Sublime Text 3 and now you're wondering what all the hype is about? Start here. This video covers Sublime Text's 'killer features' - the practical tricks and commands that will make you faster, better, more powerful, and more efficient than you've ever been in another edito
From playlist Programming and Software Development (General)
Next, the Programmable Web Browser (aka alternative to Chrome and Firefox)
While actual browsers expose their internals through an API and limit access to the host system, Next doesn't, allowing for infinite extensibility and inviting the users to program their web browser. On top of that, it doesn't tie itself to a particular platform (we currently provide bindi
From playlist Browsers
Desktop and editor setup for Rust development
After and during nearly every live stream, I get asked about my setup, my editor, my browser, and various other tidbits that are mostly unrelated to the thing we're building. I figured it'd be worth the time to take a session where I go through all those things so that I have somewhere to
From playlist Rust live-coding
Artificial Intelligence Tutorial for Beginners | Artificial Intelligence Explained | Edureka
** Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training ** This Edureka video on "Artificial Intelligence Tutorial" will provide you with a detailed and comprehensive knowledge of Artificial Intelligence and also give you real
From playlist Artificial Intelligence Tutorial For Beginners | Edureka
Ruby Conf 2013 - Test Driven Neural Networks with Ruby by Matthew Kirk
Neural networks are an excellent way of mapping past observations to a functional model. Many researchers have been able to build tools to recognize handwriting, or even jaundice detection. While Neural Networks are powerful they still are somewhat of a mystery to many. This talk aims to
From playlist RubyConf 2013
Introduction to the C programming language. Part of a larger series teaching programming. See http://codeschool.org
From playlist The C language
OWASP AppSec 2010: SmashFileFuzzer a New File Fuzzer Tool 1/2
Clip 1/2 Speaker: Komal Randive, Symantec Here is a tool SmashFileFuzzer designed and developed to address the same problem with ease. SmashFileFuzzer understands the file formats and then user can specify the fields in the file to be fuzzed. SmashFileFuzzer acts on a sample file of the
From playlist OWASP AppSec 2010
How to create a fuzzy inference system
Learn how to graphically design and simulate fuzzy inference systems using the fuzzy logic designer app. The video demonstrates the steps to create a fuzzy logic to estimate the tip percentage for a waiter based on the quality of food and service. - Build fuzzy inference systems and fuzz
From playlist “How To” with MATLAB and Simulink