Self-constructing Fuzzy Neural Networks with Extended Kalman Filter
... of the learning algorithm are presented in Section 3. Section 4 presents simulation results of the SFNNEKF, including performance comparisons with other learning algorithms. Finally, conclusions are drawn in Section 5. ...
... of the learning algorithm are presented in Section 3. Section 4 presents simulation results of the SFNNEKF, including performance comparisons with other learning algorithms. Finally, conclusions are drawn in Section 5. ...
Knowledge acquisition and processing: new methods for
... Various connectionist architectures of neuro-fuzzy systems can be constructed. The knowledge acquisition concerns fuzzy IF-THEN rules, and is performed by a learning process. The systems realize an inference (fuzzy reasoning) based on these rules. ...
... Various connectionist architectures of neuro-fuzzy systems can be constructed. The knowledge acquisition concerns fuzzy IF-THEN rules, and is performed by a learning process. The systems realize an inference (fuzzy reasoning) based on these rules. ...
SFTW461 - University of Macau, Faculty of Science and Technology
... Rule-based Expert Systems (3 hours): Discuss what is knowledge is and how experts express their knowledge in the form of production rules. Identify the main players in the expert system development team and structure of a rule-based expert system. Review forward chaining and backward chaining, confl ...
... Rule-based Expert Systems (3 hours): Discuss what is knowledge is and how experts express their knowledge in the form of production rules. Identify the main players in the expert system development team and structure of a rule-based expert system. Review forward chaining and backward chaining, confl ...
Application of intelligent control systems
... The most impressive feature of human intelligence is the ability to make correct decisions in conditions of incomplete and fuzzy information. Construction of the models that reflect human thinking and their use in computer systems today is one of the most important problems in science. Artificial in ...
... The most impressive feature of human intelligence is the ability to make correct decisions in conditions of incomplete and fuzzy information. Construction of the models that reflect human thinking and their use in computer systems today is one of the most important problems in science. Artificial in ...
methods in knowledge gathering - Department of Computer Science
... Picture of Lt Commander Data ...
... Picture of Lt Commander Data ...
CMPUT 650: Learning To Make Decisions
... A hunt the Wumpus flash version: http://www.flashrolls.com/puzzlegames/Hunt-The-Wumpus-Flash-Game.htm ...
... A hunt the Wumpus flash version: http://www.flashrolls.com/puzzlegames/Hunt-The-Wumpus-Flash-Game.htm ...
The use of Fuzzy Logic for Artificial Intelligence in Games
... a good candidate for introducing advanced AI in a game with relatively little effort. As a bonus, the fuzzy membership functions can be defined using the same response curves [2] that are usually used for tuning simpler behaviors in videogames. Due to the linguistic nature of fuzzy logic, the formul ...
... a good candidate for introducing advanced AI in a game with relatively little effort. As a bonus, the fuzzy membership functions can be defined using the same response curves [2] that are usually used for tuning simpler behaviors in videogames. Due to the linguistic nature of fuzzy logic, the formul ...
HW7 due(ch7)
... 9. You are advising a multimedia company on the best type of knowledge management system to help them archive digital video and sound clips. Which of the following will suit their needs? a. enterprise content management system b. digital asset management system c. knowledge network system d. VRML sy ...
... 9. You are advising a multimedia company on the best type of knowledge management system to help them archive digital video and sound clips. Which of the following will suit their needs? a. enterprise content management system b. digital asset management system c. knowledge network system d. VRML sy ...
AAAI Proceedings Template
... classification and generalising; they are also able to predict events in the future on the basis of history [Mena, 2003]. These abilities may be useful for forensics, where they can be used to collect evidence after a crime has been committed. However, ANNs have four algorithms which can be helpful ...
... classification and generalising; they are also able to predict events in the future on the basis of history [Mena, 2003]. These abilities may be useful for forensics, where they can be used to collect evidence after a crime has been committed. However, ANNs have four algorithms which can be helpful ...
An introduction to artificial intelligence applications in petroleum
... regression methods. ANNs are relatively insensitive to data noise, as they have the ability to determine the underlying relationship between model inputs and outputs, resulting in good generalization ability. A neural network model can be subjected to additional training in order to adapt itself to ...
... regression methods. ANNs are relatively insensitive to data noise, as they have the ability to determine the underlying relationship between model inputs and outputs, resulting in good generalization ability. A neural network model can be subjected to additional training in order to adapt itself to ...
1 Introduction to Computational Intelligence
... possibility to obtain (sufficiently) good solutions in a reasonable time frame. Here biologically inspired methods such as particle swarm optimization (or computational swarm intelligence) have proven themselves to be noteworthy candidates to employ in theory and practice. The latter two parts of th ...
... possibility to obtain (sufficiently) good solutions in a reasonable time frame. Here biologically inspired methods such as particle swarm optimization (or computational swarm intelligence) have proven themselves to be noteworthy candidates to employ in theory and practice. The latter two parts of th ...
Document
... The condition part and conclusion part will be a percentage value as they are only partially true. The water heater will not be turned on or off, but will be turned on to a certain extent It may be that a rule has several conditions that need to be satisfied E.g. IF (water temperature is hot AND ene ...
... The condition part and conclusion part will be a percentage value as they are only partially true. The water heater will not be turned on or off, but will be turned on to a certain extent It may be that a rule has several conditions that need to be satisfied E.g. IF (water temperature is hot AND ene ...
On the Characteristic Functions of Fuzzy Systems 1 Introduction 2
... be named canonical partition of the interval I. The points ek play a role in considerations only regarding the derivability of Sugeno systems and regarding Mamdani systems; for sake of generality we use them here too. One could define the canonical partition without the points ek and introduce them o ...
... be named canonical partition of the interval I. The points ek play a role in considerations only regarding the derivability of Sugeno systems and regarding Mamdani systems; for sake of generality we use them here too. One could define the canonical partition without the points ek and introduce them o ...
decisions making in design process – examples of artificial
... this knowledge considers expert rules, which can be titled as heuristics, necessary for problem solving. Heuristics has large amount of details, which are not available in the books, but represent s bond between theoretical and practical knowledge. Mixture of the knowledge and mechanism of deduction ...
... this knowledge considers expert rules, which can be titled as heuristics, necessary for problem solving. Heuristics has large amount of details, which are not available in the books, but represent s bond between theoretical and practical knowledge. Mixture of the knowledge and mechanism of deduction ...
EIE557 - PolyU EIE
... fundamental principles and key concepts of the subject are delivered to students; guidance on further readings, applications and implementation is given. The formal lectures will be accompanied by case studies of successful real-world engineering applications of intelligent systems technologies. ...
... fundamental principles and key concepts of the subject are delivered to students; guidance on further readings, applications and implementation is given. The formal lectures will be accompanied by case studies of successful real-world engineering applications of intelligent systems technologies. ...
cse 423 artificial intelligence (elective-ii)
... Ontological Engineering, Categories and objects, events, mental events and mental objects, reasoning systems for categories, Reasoning with default information, The internet shopping world. (Chapter 12:12.1-12.7 of Text Book 1) (7 hrs) 8. UNCERTAINITY MEASURE: PROBABILITY THEORY: Acting under uncert ...
... Ontological Engineering, Categories and objects, events, mental events and mental objects, reasoning systems for categories, Reasoning with default information, The internet shopping world. (Chapter 12:12.1-12.7 of Text Book 1) (7 hrs) 8. UNCERTAINITY MEASURE: PROBABILITY THEORY: Acting under uncert ...
- CSE PSTU
... Implement various search algorithms. Exercise search techniques, Simulate different search technique for Game Playing. specific input set. Analyze complexity and performance for various search technique. Knowledge and Reasoning: Explain logic, knowledge base and Lecture Building a Knowle ...
... Implement various search algorithms. Exercise search techniques, Simulate different search technique for Game Playing. specific input set. Analyze complexity and performance for various search technique. Knowledge and Reasoning: Explain logic, knowledge base and Lecture Building a Knowle ...
Fuzzy logic
Fuzzy logic is a form of many-valued logic in which the truth values of variables may be any real number between 0 and 1. By contrast, in Boolean logic, the truth values of variables may only be 0 or 1. Fuzzy logic has been extended to handle the concept of partial truth, where the truth value may range between completely true and completely false. Furthermore, when linguistic variables are used, these degrees may be managed by specific functions.The term fuzzy logic was introduced with the 1965 proposal of fuzzy set theory by Lotfi A. Zadeh. Fuzzy logic has been applied to many fields, from control theory to artificial intelligence. Fuzzy logic had however been studied since the 1920s, as infinite-valued logic—notably by Łukasiewicz and Tarski.