[PDF] Top 20 Design of Fuzzy Neural Network for Function Approximation and Classification

Design of Fuzzy Neural Network for Function Approximation and Classification

... hybrid Fuzzy Neural Network (FNN) system is presented in this ...numeric and fuzzy inputs simulta- ...the network while the fuzzy inputs do not require this ...antecedents ... See full document

15

Blood Cell Segmentation Based on Improved Pulse Coupled Neural Network and Fuzzy Entropy

... research and wound healing, immunity, tumor cell metabolism and invasion mechanisms, cell structure and function relationship is a very important field of ...analysis of the cell ... See full document

12

An Unsupervised Dynamic Image Segmentation using Fuzzy Hopfield Neural Network based Genetic Algorithm

... sciences) and partition (in graph theory) ...art of finding groups in data", or "clustering is the classification of similar objects into different groups, or more precisely, the ... See full document

8

PREDICTION OF GLIOMA USING GENETIC OPTIMIZED NEURAL NETWORK

... T1 and T2- weighted MRI ...(FP-ANN and k-NN) to obtain the classification of images under two categories, either normal or a pathological ...combination of associative rule mining ... See full document

13

CONTROL OF NONLINEAR PROCESS USING NEURAL NETWORK BASED MODEL PREDICTIVE CONTROL

... a Neural Network based Model Predictive Control (NNMPC) strategy to control nonlinear ...Perceptron Neural Network (MLP) is chosen to represent a Nonlinear Auto Regressive with eXogenous ... See full document

9

Genetic programming and bacterial algorithm for neural networks and fuzzy systems design

... properties of the various Artificial Neural Networks (ANN) ...modelling and control ...B-spline neural networks offer definite advantages over more commonly known neural networks, such ... See full document

6

Intrusion Detection System with Hierarchical Different Parallel Classification

... idea of mixing hierarchical parallel classification, and finally a mediated network decide about the kind of ...three classification of SVM, neural network ... See full document

7

Faults Classification of a Scooter Engine Platform Using Wavelet Transform and Artificial Neural Network

... The neural network using a multiplayer perception classifier with error back propagation (BP) algorithm based on supervised learning rule is applied for training and testing the classifier in the ... See full document

6

Evaluation of deciduous broadleaf forests mountain using satellite data using neural network method near Caspian Sea in North of Iran

... comparison of classification in artificial and fuzzy neural networks technique has been conducted to separate classes of forest from non-forest using SPOT satellite neural ... See full document

6

DESIGN AND ANALOG VLSI IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORK

... proposed neural network. Back-propagation network (BPN) is the best example of a parametric method for training supervised multi-layer perception neural network for ...forward ... See full document

14

An Integrated Intelligent Neuro-Fuzzy Algorithm for Long-Term Electricity Consumption: Cases of Selected EU Countries

... integration of a neural network, a time series and ANOVA ...artificial neural network and genetic algorithm framework to predict electrical energy consumption ...Azadeh ... See full document

20

Artificial neural networks: A novel approach to analysing the nutritional ecology of a blowfly species, Chrysomya megacephala

... features of blowflies may be clarified and detailed by the deployment of appropriate modelling techniques such as artificial neural networks, which are mathematical tools widely applied to the ... See full document

19

Land Cover Classification from Multispectral Data Using Computational Intelligence Tools: A Comparative Study

... Artificial Neural Networks (ANN) form a classification technique where neurons are trained to detect patterns in the training dataset and then the trained classifier is applied to unknown ...number ... See full document

15

A Computational Biological Network for Wood Defect Classification

... spiking neural network In this work, the coding intervals T were set to [0-100] ms and the delays to {1,…,15} [ms] in 10 ms ...an function with a constant time =170 ...the network ... See full document

5

Design of Radial Basis Function Neural Networks for Software Effort Estimation

... determination of the optimal structure of the hidden ...number of hidden neurons and the formulae used to compute the widths of these kernels ...designs of RBFN networks, one ... See full document

7

Arq. NeuroPsiquiatr. vol.66 número2A

... different fuzzy arithmetical operations to support in the diagnostic of epileptic events and non epileptic ...(NEuro Fuzzy CLASSIfication) architecture and an artificial ... See full document

5

J. Braz. Comp. Soc. vol.12 número4

... basis function (RBF) neural network (NN) with phase transmittance between the input nodes and output, which makes it suitable for channel equalization on quadrature digital modulation ... See full document

8

Condenser and Deaerator Control using Fuzzy-Neural Technique

... diagram of the system under ...tubes of the condenser and receives energy from the steam that is coming from the Low Pressure Cylinder (LPC) of the turbine to the condenser by convection ... See full document

18

Soft sets combined with interval valued intuitionistic fuzzy sets of type-2 and rough sets

... Abstract: Fuzzy set theory, rough set theory and soft set theory are all mathematical tools dealing with ...concept of type-2 fuzzy sets was introduced by Zadeh in 1975 which was extended to ... See full document

20

Information and Communication Technology as a Provider of Food Security: Design of an Expert System to Assist in Communication where Non-Audible Communication is Expedient

... facts of the identified problems and storing each of the required knowledge inferred as ...implementation of the knowledge base. This knowledge base is intelligent, dynamic and can be ... See full document

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