[PDF] Top 20 PREDICTION OF GLIOMA USING GENETIC OPTIMIZED NEURAL NETWORK
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PREDICTION OF GLIOMA USING GENETIC OPTIMIZED NEURAL NETWORK
... neighborhood. Neural Network based brain tumor detection was proposed in (Kadam et ...interdependency of two approaches certainly makes precise detection of maligns ...performance of ... See full document
13
Impact of Hybrid Intelligent Computing in Identifying Constructive Weather Parameters for Modeling Effective Rainfall Prediction
... impact of Hybrid Intelligent System (HIS) for strategic decision support in ...Selection using Genetic Algorithm (RSGA) is introduced to identify the signiicant input feature ...Artiicial ... See full document
10
Early Detection of Lung Cancer Using Neural Network Techniques
... combination of image processing and data mining ...done using Genetic Algorithm (GA) [28] and morphological image processing ...determination of threshold values for the separation of ... See full document
6
Prediction of Electrochemical Machining Process Parameters using Artificial Neural Networks
... applicability of ANN in different nontraditional machining processes such as, Kuo Tsai et ...ability of different neural networks models to predict the surface finish based on the effect of ... See full document
8
Prediction of ferric iron precipitation in bioleaching process using partial least squares and artificial neural network
... range of the tangent sigmoid transfer function of the ...ters of network including the number of nodes in the hidden layer, weights and biases learning rates and momentum values were ... See full document
11
Hybrid Intelligent Model for Software Maintenance Prediction
... find optimized and more accurate maintenance ...Evolutionary Neural Network (NN) model to predict software ...a neural network is trained for prediction and a genetic ... See full document
5
Braz. J. Chem. Eng. vol.19 número4
... (BOD) of the output stream of the biological wastewater treatment plant at RIPASA S/A Celulose e Papel, one of the major pulp and paper plants in ...best prediction performance is achieved ... See full document
6
Vehicle Tracking using Convolutional Neural Network
... characteristics of the object, ...object of interest and the environment is also an important characteristic for estimating the object ...characteristics of the object, and is denoted by ...property ... See full document
4
Analysis of EM scattering in Waveguide Filter using Neural Network
... a neural network model we need to identify input and output parameters of the structure under consideration to generate and preprocess data for carrying out ANN ...purpose of the neural ... See full document
4
Automatic eye localization in color images
... localization using neural network for color ...decision-based neural network (SPDNN) is used to learn the conditional distribution for each color ...Pixels of a color image are ... See full document
8
Using Neural Network for DJIA Stock Selection
... constituents of soft computing are: fuzzy logic, artificial neural networks, probabilistic reasoning, evolutionary computation, machine learning and chaos theory, ... See full document
8
Sentence Recognition Using Hopfield Neural Network
... comprises of the data source, Coding module to create patterns of words and sentences according to the specified algorithm and Hopfield Networks for classifying words and ...form of sentences which ... See full document
6
Artificial Neural Network for Precipitation and Water Level Predictions of Bedup River
... level prediction at Bedup River with estimations made to absent precipitation data, both using Artificial Neural Network ...state of Sarawak, Malaysia have been actively carried ... See full document
6
Bol. Ciênc. Geod. vol.23 número1
... performance of the geocentric translation model, this study proposed a novel technique known as the Artificial Neural Network-Error Compensation Model (ANN-ECM) to transform coordinates from WGS84 ... See full document
21
Implementation of a Neural Network Using Simulator and Petri Nets*
... model of the architecture of the neural network which has one neuron in the hidden ...consists of the input neuron, the neuron of the hidden layer and the output ...pairs ... See full document
6
Application of Artificial Neural Network For Path Loss Prediction In Urban Macrocellular Environment
... To develop an ANN model that is accurate and generalizes well, measurement data from different environments are applied in the training process. There are many methods of improving the performance of the ... See full document
6
Prediction of Operating Characteristics of Electrotechnical Devices using Artificial Neural Networks
... dependence of the coil inductance, of its sensitivity and of the voltage at its terminals, function of several parameters, of which the most important is the distance between the coil ... See full document
6
AUTOMATED EDGE DETECTION USING CONVOLUTIONAL NEURAL NETWORK
... Convolutional Neural Networks (Convolutiobal Neural Network) are variants of MLPs which are inspired from ...arrangement of cells within the visual ...sub-regions of the input ... See full document
7
Artificial neural network for prediction of the area under the disease progress curve
... Artificial neural networks (ANN) are computational models inspired by the neural systems of living beings capable of learning from examples and using them to solve problems such as ... See full document
9
Masonry Compressive Strength Prediction Using Artificial Neural Networks
... concept of an arti ficial neural network is based on the concept of the biological neural network of the human ...block of the ANN is the arti ficial neuron, which is ... See full document
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