'Fuzzy inference system' diaporamas de présentation

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WP5: Rule System

WP5: Rule System

WP5: Rule System. CARTIF Brussels, 31 March 2014. WP5 Rule system. Base of knowledge Information of appliances Information of users Request Recipes User evaluations Rule engine: tuning recipes Static: Fuzzy inference methods Dynamic: Reinforcement Learning. NI platform. WP5 Partners.

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682 views • 53 slides
Adaptive Neuro-Fuzzy Inference Systems (ANFIS)

Adaptive Neuro-Fuzzy Inference Systems (ANFIS)

ICS 581: Advanced Artificial Intelligence. Lecture 13. Adaptive Neuro-Fuzzy Inference Systems (ANFIS). Dr. Emad A. A. El-Sebakhy. Term 061 Meeting Time: 6:30 -7:45 Location: Building 22, Room 132. Crisp set A. Fuzzy set A. 1.0. 1.0. .9. Membership function. .5. 170. 170. 180.

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1.46k views • 43 slides
Fuzzy Inference Systems

Fuzzy Inference Systems

Fuzzy Inference Systems. Review Fuzzy Models. If <antecedence> then <consequence> . Basic Configuration of a Fuzzy Logic System. Inferencing. Fuzzification. Defuzzification. Input. Output. Target. Error =Target -Output. Types of Rules. Mamdani Assilian Model

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2.43k views • 38 slides
Kansei Analysis for Ubiquitous Robots Interacting with People in Dynamic Environments

Kansei Analysis for Ubiquitous Robots Interacting with People in Dynamic Environments

Kansei Analysis for Ubiquitous Robots Interacting with People in Dynamic Environments . Contents. Introduction Human Behavior Personal Space New system Future aspects Construction Summary. Introduction. Mobile robots, Autonomous robots, Android robots

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482 views • 28 slides
Fuzzy Reinforcement Learning Agents

Fuzzy Reinforcement Learning Agents

Fuzzy Reinforcement Learning Agents. By Ritesh Kanetkar Systems and Industrial Engineering Lab Presentation May 23, 2003. What is a agent?.

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485 views • 25 slides
A Fuzzy-Based Assessment Model for Faculty Performance Evaluation

A Fuzzy-Based Assessment Model for Faculty Performance Evaluation

A Fuzzy-Based Assessment Model for Faculty Performance Evaluation. Mohammed Onimisi Yahaya College of Computer Sciences and Engineering King Fahd University of Petroleum and Mineral Dhahran 31261, Saudi Arabia mdonimisi@kfupm.edu.sa. February, 2011. OUTLINE. Introduction

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289 views • 19 slides
Fuzzy Inference System (FIS) and Matlab Fuzzy Logic Toolbox

Fuzzy Inference System (FIS) and Matlab Fuzzy Logic Toolbox

Fuzzy Inference System (FIS) and Matlab Fuzzy Logic Toolbox. Fuzzy inference is the process of formulating the mapping from a given input to an output using fuzzy logic. The mapping provides a basis from which decisions can be made , or patterns discerned.

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1.8k views • 15 slides
Artificial Neural Network

Artificial Neural Network

An artificial neural network (ANN), usually called neural network (NN), is a mathematical model or computational model that is inspired by the structure and/or functional aspects of biological neural networks.

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443 views • 8 slides
Modelling and Simulation

Modelling and Simulation

Modelling and Simulation. Tarik Booker. What is it (in relation to Computer Science)?. Modelling and Simulation refer to the computerized modelling and simulation of numerical systems Non-Linear Dynamical Systems Fractal Theory Fuzzy Logic (Neural Networks). Dynamical Systems.

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281 views • 6 slides
What are Neuro-Fuzzy Systems

What are Neuro-Fuzzy Systems

What are Neuro-Fuzzy Systems. A neuro-fuzzy system is a fuzzy system that uses a learning algorithm derived from or inspired by neural network theory to determine its parameters (fuzzy sets and fuzzy rules) by processing data samples.

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1.73k views • 4 slides

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