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Title: fuzzy logic and neural networks full report
Page Link: fuzzy logic and neural networks full report -
Posted By: seminar topics
Created at: Monday 29th of March 2010 01:57:05 AM
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Fuzzy Logic
Philosophical approach
Decisions based on degree of truth
Is not a method for reasoning under uncertainty that probability
Crisp Facts distinct boundaries
Fuzzy Facts imprecise boundaries
Probability - incomplete facts
Example €œ Scout reporting an enemy
Two tanks at grid NV 54 (Crisp)
A few tanks at grid NV 54 (Fuzzy)
There might be 2 tanks at grid NV 54 (Probabilistic)
Apply to Computer Games
Can have different characteristics of players
Strength: strong, medium, weak
Aggressiveness: meek, ....etc

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Title: neural networks and fuzzy logic ppt
Page Link: neural networks and fuzzy logic ppt -
Posted By:
Created at: Sunday 14th of October 2012 07:38:52 PM
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Title: Neural Networks For Location Prediction In Mobile Networks
Page Link: Neural Networks For Location Prediction In Mobile Networks -
Posted By: seminar class
Created at: Friday 22nd of April 2011 01:33:36 PM
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ABSTRACT
Location prediction serves to save capacity on the air interface of mobile radio networks. A selection of neural networks of the feed-forward and feedback type are examined to prove their suitability for this purpose. As first results preferable network structures, input vectors, learning parameters and the simulated prediction probabilities are presented. A comparison with conventional methods shows the advantages and disadvantages of the use of neural networks for motion prediction. The results show that t ....etc

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Title: ppt on neural networks and fuzzy logic in ieee format
Page Link: ppt on neural networks and fuzzy logic in ieee format -
Posted By:
Created at: Saturday 22nd of March 2014 01:06:45 AM
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Title: ready notes on neural networks and fuzzy logic
Page Link: ready notes on neural networks and fuzzy logic -
Posted By:
Created at: Friday 26th of October 2012 10:39:45 PM
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provide ready notes on neural networks and fuzzy logic as soon as possible.... ....etc

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Title: SHORT TERM LOAD FORECASTING USING ARTIFICIAL NEURAL NETWORKS AND FUZZY LOGIC
Page Link: SHORT TERM LOAD FORECASTING USING ARTIFICIAL NEURAL NETWORKS AND FUZZY LOGIC -
Posted By: seminar class
Created at: Monday 11th of April 2011 01:37:27 PM
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ABSTRACT:
This project presents the approach to the short term load forecasting using Artificial Neural Network (ANN) and Fuzzy Logic. Artificial Neural Networks (AAN) have recently been receiving considerable attention and a large number of publications concerning ANN-based short-term load forecasting (STLF) have appeared in the literature. Along with this Fuzzy Logic , also a part of Artificial Intelligence, is known to result in accurate predictions. In this paper, a model using Fuzzy Logic with the help of an ANN ....etc

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Title: TECHNICIAN GR II GENERAL MECHANIC GENERAL SOCIETY kerala psc previous question paper
Page Link: TECHNICIAN GR II GENERAL MECHANIC GENERAL SOCIETY kerala psc previous question paper -
Posted By: amrutha735
Created at: Friday 12th of May 2017 06:59:39 PM
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85/2014
Maximum : 100 marks
Time : 1 hour and 15 minutes

1. V belt run in-------------------degree v-groove.
(A)60°
(B)55°
(C )29°
(D)40°

2. The -----------------is the operation of forming the edges of a component into roll by bending the sheet metal in order to strengthen the edges and to provide smoothness to its surface :
(A)Bending
(B)Curling
(C )Lancing
(D)Forming

The back gear system of a lathe is used to :
(A)Reduce the spindle speed
(B)Increase the spindle speed
(C )Only used in thread cut ....etc

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Title: Neural networks and fuzzy logic in electrical engineering control courses
Page Link: Neural networks and fuzzy logic in electrical engineering control courses -
Posted By: project uploader
Created at: Tuesday 06th of March 2012 07:42:58 PM
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Neural networks and fuzzy logic in electrical engineering control courses

Abstract
Control system education must include experimental exercises that complement the theory
presented in lectures. These exercises include modelling, analysis and design of a control system. Key
concepts and techniques in the area of intelligent systems and control have been discovered and
developed over the past few decades. While some of these methods have significant benefits to offer,
engineers are often reluctant to utilise new intelligent ....etc

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Title: ARTIFICIAL NEURAL NETWORKS FUZZY LOGIC AUTOMATED AUTOMOBILES
Page Link: ARTIFICIAL NEURAL NETWORKS FUZZY LOGIC AUTOMATED AUTOMOBILES -
Posted By: seminar class
Created at: Monday 21st of March 2011 03:15:42 PM
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Presented by
R.NAGA CHANDANA
K.SWETHA


ABSTRACT
Automobiles have become an integrated part of our daily life. The development of technology has improved the automobile industry in both cost & efficiency. Still, accidents prove as challenge to technology. Highway accident news are frequently found in the newspapers. The automobile speed has increased with development in technology through years and the complexity of the accidents has also increased. Higher speeds the accidents prove to be more fatal. Man ....etc

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Title: A Novel Two-Stage Impulse Noise Removal Technique Based on Neural Networks and Fuzzy
Page Link: A Novel Two-Stage Impulse Noise Removal Technique Based on Neural Networks and Fuzzy -
Posted By: smart paper boy
Created at: Wednesday 10th of August 2011 01:54:26 PM
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A Novel Two-Stage Impulse Noise Removal Technique Based on Neural Networks and Fuzzy Decision
Introduction
Images corrupted by impulse noise.
Objectives of noise removal:-
- Suppress the noise.
- To preserve the sharpness of edge.
Two-Stage impulse noise removal techniques used:-
- Neural Networks
- Fuzzy Decision
Neural Network
Neural network: information processing paradigm inspired by biological nervous systems, such as our brain
Structure: large number of h ....etc

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