[PDF] Top 20 Ideas para el tratamiento urbanístico de la ciudad actual
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Developing new Adaptive Neuro-Fuzzy Inference System models to predict granular soil groutability
... of soil voids. An empirical the groutability ratio of granular soil was proposed for consolidation grouting as a function of grain size, relative density and fine contents of soil, the ... See full document
104
Application of adaptive neuro-fuzzy inference system to predict draft and energy requirements of a disk plow
... an adaptive neuro-fuzzy inference system (ANFIS) approach and its performance compared to a multiple linear regression (MLR) model to determine the energy and draft requirements of a ... See full document
29
Predicting the effective stress parameter of unsaturated soils using adaptive neuro-fuzzy inference system
... two Adaptive Neuro-Fuzzy Inference System (ANFIS) models, including SC-FIS model (created by subtractive clustering) and FCM-FIS model (created by Fuzzy c-means (FCM) ... See full document
50
Uncertainty analysis through development of seismic fragility curve for an SMRF structure using an adaptive neuro-fuzzy inference system based on fuzzy C-means algorithm
... To predict the means and standard deviations of collapse fragility curves, ANFIS based on fuzzy C-means algorithm simulation is ...These models are calibrated from 10000 realizations of input random ... See full document
113
Wireless and Mobile Technologies
... on adaptive Neuro-Fuzzy inference system (ANFIS) for determining the parameters used in the design of a coplanar capacitive coupled probe fed rectangular microstrip ...of fuzzy ... See full document
73
Performance Improvement for BLDC Motor by using Adaptive Neuro-Fuzzy Inference Systems (ANFIS)
... propagation Adaptive Neuro-Fuzzy Inference Systems (ANFIS) algorithm are considered and included to replace the conventional method of Proportional Integral and ...and fuzzy logic ... See full document
77
Rainfall Forecasting in Banyuwangi Using Adaptive Neuro Fuzzy Inference System
... However, the pattern can be shifted from the pattern predefined by previous studies. A study shows Indonesia is facing the challenge of climate change that is significant enough to alter the intensity of the rain and ... See full document
385
Vol 10, No 2 (2018)
... based fuzzy logic techniques in ...a fuzzy based intrusion detection system that automate the process of producing a fuzzy system by using an ANFIS for the initialization of the ... See full document
5
Auto control of pumping operations in sewerage systems by rule based fuzzy neural networks
... sewerage system are to increase its storage capacity prior to peak flows by reducing water levels in advance and to decrease flood/flooding probability by speeding up discharge rates during storm ...based ... See full document
14
Estimation of xanthate decomposition percentage as a function of pH, temperature and time by least squares regression and adaptive neuro-fuzzy inference system
... the Adaptive Neuro-Fuzzy Inference System ...ANFIS models with various types and numbers of membership functions (MFs) were constructed, trained, and tested for the estimation of ... See full document
47
Comparative study of ANN and ANFIS prediction models for thermal error compensation on CNC machine tools
... ANFIS models with validation data (different conditions of rotational speeds on the machine ...ANN models can reduce the thermal error to less than ±10 ... See full document
13
WEATHER FORECASTING USING SOFT COMPUTING TECHNIQUES
... to predict the state of the atmosphere for a future time at a given ...study Adaptive Neuro-Fuzzy Inference System (ANFIS) and Multi-Layer Perceptron (MLP) Artificial Neural ... See full document
6
Predict the Inverse Kinematic Solution to Manipulate Duplicate Using Anfis
... automated system has more degrees of freedom And it is called (DOF) that required to perform a specific manipulator duplicate ...used Neuro System Fuzzy Inference) to the data that has ... See full document
14
A neuro-fuzzy approach to the reliable recognition of electric earthquake precursors
... of neuro-fuzzy networks (Neural Networks with intrinsic fuzzy logic abilities) for the reliable recogni- tion of EEP signals within the electric ...the neuro-fuzzy model enables ... See full document
21
Palmprint Identification Based on Adaptive Neuro Fuzzy Inference System
... identification system has become one of the active research ...identification system as two phases one is the feature extraction phase and other is the identification ...use adaptive neuro ... See full document
74
Modelling tide prediction using linear model and adaptive neuro fuzzy inference system (ANFIS) in Semarang, Indonesia
... Forecasting methods are techniques in Statistical tools for decision making. Forecasting approach for time series data can be done using two ways, the linear and non-linear approach. Forecasting methods with linear ... See full document
7
Designing full-order sliding mode controller based on ANFIS approximator for uncertain nonlinear chaotic systems
... create new combined methods to achieve reasonable solution ...Nowadays, fuzzy logic has become one of the most successful methods for development of complex control ...of fuzzy logic has been ... See full document
16
Image Enhancement Using Adaptive Neuro-Fuzzy Inference System
... Abstract: This paper presents a hybrid filter for denoising and enhancing digital image in situation where the image is corrupted by salt and pepper noise. Image denoising and enhancement are important preprocessing and ... See full document
9
Edge Detection in Digital Images Corrupted by Salt and Pepper Noise using Adaptive Neuro Fuzzy Inference System (ANFIS)
... an Adaptive Neuro-Fuzzy Inference System ...Noise Adaptive Fuzzy Switching Median Filter (NAFSMF) and then find the edges using proposed ANFIS based edge ... See full document
32
Machining Process Optimization By Colony Based Cooperative Search Technique
... intelligence system includes a mixture o f simple local behaviours for creating a complicated general behaviour and there is no c e n tra l control in ...the new computational paradigm for optimizing real ... See full document
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