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
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
Fuzzy Logic Systems - Part 1: Introduction
This video is about Fuzzy Logic Systems - Part 1: Introduction
From playlist Fuzzy Logic
Fuzzy Logic Systems - Part 4: Knowledge Based and Fuzzy Inference Engine
This video is about Fuzzy Logic Systems - Part 4: Knowledge Based and Fuzzy Inference Engine
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
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
Interval Type-2 (IT2) Fuzzy System and its Applications
Abstract: This talk will be delivered in two parts while the first part is a brief introduction of fuzzy logic systems from the control point of view while the second part is about the fuzzy-logic related applications. In the first part, the fuzzy logic system will be introduced and its fu
From playlist Fuzzy Logic
Fuzzy Inference System Walkthrough | Fuzzy Logic, Part 2
This video walks step-by-step through a fuzzy inference system. Learn concepts like membership function shapes, fuzzy operators, multiple-input inference systems, and rule firing strength. Fuzzy Logic Toolbox: https://bit.ly/38xNy7E?s_eid=PSM_15028 ---------------------------------------
From playlist Fuzzy Logic
Pawel Grzegrzolka - Asymptotic dimension of fuzzy metric spaces
38th Annual Geometric Topology Workshop (Online), June 15-17, 2021 Pawel Grzegrzolka, Stanford University Title: Asymptotic dimension of fuzzy metric spaces Abstract: In this talk, we will discuss asymptotic dimension of fuzzy metric spaces. After a short introduction to fuzzy metric spac
From playlist 38th Annual Geometric Topology Workshop (Online), June 15-17, 2021
Introduction to Predicate Logic
This video introduces predicate logic. mathispower4u.com
From playlist Symbolic Logic and Proofs (Discrete Math)
23C3: A Natural Language Database Interface using Fuzzy Semantics
Speaker: Richard Bergmair We give a thorough exposition of our natural language database interface that produces result sets ranked according to the degree to which database records fulfill our intuitions about vague expressions in natural language such as `a small rainy city near San Fr
From playlist 23C3: Who can you trust
22C3: A way to fuzzy democracy
Speakers: Svenja Schröder, Christiane Ruetten Using modern communication to transform the way we make political decisions As we can see by the German voting results in 2005, there is a huge disenchantment with politics in modern democracies. The voting people feel powerless in a governan
From playlist 22C3: Private Investigations
Inference in a Nonconceptual World, Brian Cantwell Smith
Brian Cantwell Smith, Reid Hoffman Professor of Artificial Intelligence and the Human, University of Toronto Classical models of inference, such as those based on logic, take inference to be *conceptual* – i.e., to involve representations formed of terms, predicates, relation symbols, and
From playlist Franke Program in Science and the Humanities
Getting Started with Fuzzy Logic Toolbox (Part 1)
Use Fuzzy Logic Toolbox™ to design fuzzy logic systems. Get a Free MATLAB Trial: https://goo.gl/C2Y9A5 Ready to Buy: https://goo.gl/vsIeA5 Learn more about Fuzzy Logic Toolbox: http://goo.gl/005y5R Learn more about MATLAB: http://goo.gl/YKadxi
From playlist Control System Design and Analysis
Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 7 – Vanishing Gradients, Fancy RNNs
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3c7n6jW Professor Christopher Manning & PhD Candidate Abigail See, Stanford University http://onlinehub.stanford.edu/ Professor Christopher Manning Thomas M. Sieb
From playlist Stanford CS224N: Natural Language Processing with Deep Learning Course | Winter 2019
Morrey's conjecture - László Székelyhidi
Members’ Colloquium Topic: Morrey's conjecture Speaker: László Székelyhidi Affiliation: University of Leipzig; Distinguished Visiting Professor, School of Mathematics Date: February 14, 2022 Morrey’s conjecture arose from a rather innocent looking question in 1952: is there a local condi
From playlist Mathematics
Daniel Ranard - QCAs and approximate locality - IPAM at UCLA
Recorded 01 September 2021. Daniel Ranard of the Massachusetts Institute of Technology presents "QCAs and approximate locality" during IPAM's Graduate Summer School: Mathematics of Topological Phases of Matter. Abstract: "Unitary evolutions of quantum lattice systems that preserve locality
From playlist Graduate Summer School 2021: Mathematics of Topological Phases of Matter
Logic: The Structure of Reason
As a tool for characterizing rational thought, logic cuts across many philosophical disciplines and lies at the core of mathematics and computer science. Drawing on Aristotle’s Organon, Russell’s Principia Mathematica, and other central works, this program tracks the evolution of logic, be
From playlist Logic & Philosophy of Mathematics
GNDCon 2.0 // Keynote, Harald Sack: „Die Welt ist klein und man trifft sich immer zweimal…“
Harald Sack (KIT / FIZ Karlsruhe) – Keynote Die Wissenschaften produzieren stetig wachsende Datenmengen. Deren effiziente Nutzung erfordert funktionierende Infrastrukturen. Ziel der Nationalen Forschungsdateninfrastruktur ist es, diese Datenbestände für das gesamte Wissenschaftssystem syst
From playlist ISE Conference Talks