[PDF] Top 20 Fuzzy neural networks with genetic algorithm-based learning method
Has 10000 "Fuzzy neural networks with genetic algorithm-based learning method" found on our website. Below are the top 20 most common "Fuzzy neural networks with genetic algorithm-based learning method".
Fuzzy neural networks with genetic algorithm-based learning method
... proposed based on fuzziness. Similar to granular computing, the theory of fuzzy information granulation is inspired from how the human mind reacts to solve problems (Zadeh, ... See full document
50
An Approach to Management of Health Care and Medical Diagnosis Using of a Hybrid Disease Diagnosis System
... This method can provide new information once again to be used for training and retraining ...selected. Genetic algorithm is used to optimize the features and to reduce the number of algorithm ... See full document
16
(EM) mechanism, for global
... electromagnetism-like algorithm (EM), we propose a novel hybrid learning algorithms which is the improved EM algorithm with genetic algorithm technique (IEMGA) for recurrent ... See full document
6
Method of Wireless Sensor Network Data Fusion
... BP algorithm that it is easy to get into local ...obtained. Based on the analysis of the structure and learning algorithm of RBF neural networks, a heterogeneous RBF ... See full document
9
New Intelligent Classification Techniques for Diagnosis of Diabetes Mellitus based on Modified PSO
... Artificial Neural networks, Genetic Algorithm, Fuzzy classifier, Support Vector Machine, Least Squares Support Vector Machine, Particle Swarm ... See full document
7
Soft-Computing Based Data Mining: A Review
... discovery algorithm and visualization ...involving fuzzy sets, neural networks, genetic algorithms, rough sets, and their hybridizations, have recently been used to solve data mining ... See full document
15
Leveraging Smartphone Sensor Data for Human Activity Recognition
... machine learning techniques, the recognition methods have shifted from threshold methods to statistical learning ...machine learning algorithms are employed and tested in HAR systems, such as SVM, ... See full document
96
An Enriched Frame Work for Auto Answering System for SMS using Fuzzy Classification
... proposed method to construct a network that describes information about the relation of things that are related to a certain keyword from electronic ...This method has two characteristics (use of TF-IDF and ... See full document
5
Forecasting Fuzzy Delphi and Hybrid intelligent system for ERP Architecture through the Scientific Private Cloud
... time based on the information at ...system based on Fuzzy Delphi Method, fuzzy clustering and Back-propagation (BP) Neural Networks with adaptive learning rate in ... See full document
7
MULTI-INTERSECTION TRAFFIC CONGESTION CONTROL METHOD BASED ON REINFORCEMENT LEARNING.
... artificial neural networks, genetic algorithms, reinforced learning and other machine learning algorithms are often used to solve traffic congestion control ...problem[1]. Fuzzy ... See full document
9
The Optimal Design of Weighted Order Statistics Filters by Using Support Vector Machines
... The principle of SVMs is based on approximating struc- tural risk minimization. It shows that the generalization er- ror is bounded by the sum of the training set error and a term dependent on the ... See full document
13
Type-2 Fuzzy Logic Approach To Increase The Accuracy Of Software Development Effort Estimation
... new method has been presented in order to increase the accuracy of effort ...is based on the type-2 fuzzy logic in which the gradient descend algorithm and the neuro- ... See full document
8
Structure Learning in Bayesian Networks Using Asexual Reproduction Optimization
... presumed, based on spark plugs, headlights, main fuse, etc ...structure learning for BN is to obtain the structures which are close to this desired ... See full document
11
Studies on evaluation of rural sports based on fuzzy comprehensive evaluation method
... The evaluation index of rural sports should be scientific, maneuverable and complete. The meaning of evaluation index should be explicit, which can be measured and counted with standard computation method, the ... See full document
7
On the Application of Data Mining to Official Data
... clustering method for units. In clustering method, similar records in the data are grouped together in cluster forms which will result in having a high level view of ...and networks (Pujari, 2001) ... See full document
14
An Algorithm for Power System Fault Analysis ...
... deep neural networks (many hidden layers) achieves better performance than training shallow ...deep networks are the availability of large amounts of data and powerful computers (usually GPU ... See full document
8
Fuzzy-Genetic Algorithm-Based Direct Power Control Strategy for DFIG
... presented based on discrete space vector modulation (DSVM), and a fuzzy controller is used to reduce power ...this method makes it necessary for reducing the power ripples to have high switching ... See full document
9
The Implementation And Automation Of Software Reliability Assessment Model Using Neuro Fuzzy System
... tool based on Neuro Fuzzy approach for software Risk ...Firstly Fuzzy Inference System is created and then Neural Network based three different training algorithms: BR (Bayesian ... See full document
21
A fuzzy cooperative genetic algorithm for fuzzy modeling
... the fuzzy modeling which can make the knowledge obtained to be imprecise, wrong or simply uncertain (Tsipouras et ...the fuzzy modeling is the curse of ...many fuzzy parameters when it is applied on ... See full document
37
Motion learning by robot apprentices : a fuzzy neural approach
... Analytical resolution methods for fuzzy relational equations allow incremental on- line learning in fuzzy neural networks, which is an advantage over classic neural models.. However, the[r] ... See full document
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