two-level neural-network
Automatic QRS complex detection using two-level convolutional neural network
... The two levels of the system are combined for training with back-propagation (BP) ...The two-level CNN adopts hierarchi- cal structure, in which different abstract features are extracted from ...
17
A COMPUTATIONAL HYBRID MODEL WITH TWO LEVEL CLASSIFICATION USING SVM AND NEURAL NETWORK FOR PREDICTING THE DIABETES DISEASE
... a two cell scenario given in figure 6 have been shown that CoMP gains are significant for simple interference scenarios and with that the implementation challenges can be ...
7
A COMPUTATIONAL HYBRID MODEL WITH TWO LEVEL CLASSIFICATION USING SVM AND NEURAL NETWORK FOR PREDICTING THE DIABETES DISEASE
... artificial neural network is the main purpose of this ...Artificial neural network (ANN) system has their ability to learn from the data having nonlinear ...
12
A COMPUTATIONAL HYBRID MODEL WITH TWO LEVEL CLASSIFICATION USING SVM AND NEURAL NETWORK FOR PREDICTING THE DIABETES DISEASE
... Femto Base Station (FBS) or Femotcell Access Point (FBS), is a small base station typically designed for indoor use in a Small Office Home Office (SOHO) environment to provide voice and broadband services. FBS is a cost ...
26
A COMPUTATIONAL HYBRID MODEL WITH TWO LEVEL CLASSIFICATION USING SVM AND NEURAL NETWORK FOR PREDICTING THE DIABETES DISEASE
... BTPN Syariah was born from a combination of the two powers, namely, PT. Bank Sahabat Purbadanarta and BTPN’s Syaria Business Unit. Bank Sahabat Purbadanarta, established since March 1991 in Semarang, is a ...
9
A COMPUTATIONAL HYBRID MODEL WITH TWO LEVEL CLASSIFICATION USING SVM AND NEURAL NETWORK FOR PREDICTING THE DIABETES DISEASE
... In this paper, we showed a new technique for hiding a message within an image or audio file that can suit many types of data. We also showed how we can build an application that handles different expected problems with ...
9
A COMPUTATIONAL HYBRID MODEL WITH TWO LEVEL CLASSIFICATION USING SVM AND NEURAL NETWORK FOR PREDICTING THE DIABETES DISEASE
... the level of absorption on surrounding environment of firefly namely air, and the last variable right is the difference of initial distance between firefly I and ...the level of ...
9
A COMPUTATIONAL HYBRID MODEL WITH TWO LEVEL CLASSIFICATION USING SVM AND NEURAL NETWORK FOR PREDICTING THE DIABETES DISEASE
... the submission of a detailed statement of the student the necessary information, the transfer of material room units; allows you to improve the choice of assignments and exercises; forms and skills to develop individual ...
5
A COMPUTATIONAL HYBRID MODEL WITH TWO LEVEL CLASSIFICATION USING SVM AND NEURAL NETWORK FOR PREDICTING THE DIABETES DISEASE
... The next step poisson approach was used to determine the candidate keywords. We use the Poisson distribution that is in use by Jungiewicz, M. et al [5]. We use Jungiewicz, M. simplest method using two variables to ...
7
A COMPUTATIONAL HYBRID MODEL WITH TWO LEVEL CLASSIFICATION USING SVM AND NEURAL NETWORK FOR PREDICTING THE DIABETES DISEASE
... In comparison to neural networks we may describe SVM as a feed-forward neural net with one hidden layer. The main building blocks of SVM’s are structural risk minimization, originating from statistical ...
10
A COMPUTATIONAL HYBRID MODEL WITH TWO LEVEL CLASSIFICATION USING SVM AND NEURAL NETWORK FOR PREDICTING THE DIABETES DISEASE
... A cluster encompasses a collection of distributed resources to be unified. By definition, clusters are multiple, closely-coupled machines that are centrally administered. These machines share common resources such as ...
8
Multi-Look SAR ATR Using Two-Level Decision Fusion of Neural Network and Sparse Representation
... In this experiment, with the increase of number of looks, two multi-look SAR ATR methods, i.e., HMM [7] and SVM [26], are evaluated based on the same feature as our paper. In our method, the range of aspect angle ...
12
A COMPUTATIONAL HYBRID MODEL WITH TWO LEVEL CLASSIFICATION USING SVM AND NEURAL NETWORK FOR PREDICTING THE DIABETES DISEASE
... into two voltage ...temperature level that has been detected is converted into a digital signal by the ADC have been integrated in a microcontroller ATMega8 then the signal is processed by a ...
9
A COMPUTATIONAL HYBRID MODEL WITH TWO LEVEL CLASSIFICATION USING SVM AND NEURAL NETWORK FOR PREDICTING THE DIABETES DISEASE
... salinity level and particle amount suspended in sea water varied with time, location and season causing accurate estimation of problematic energy attenuation ...
8
A COMPUTATIONAL HYBRID MODEL WITH TWO LEVEL CLASSIFICATION USING SVM AND NEURAL NETWORK FOR PREDICTING THE DIABETES DISEASE
... Consider two examples of linear transfor- mations for the case of a PRNG, functioning in finite fields [1, 5-6, 8]. These transformations can be used for executing the state mixing oper- ation (MixState), which is ...
6
A COMPUTATIONAL HYBRID MODEL WITH TWO LEVEL CLASSIFICATION USING SVM AND NEURAL NETWORK FOR PREDICTING THE DIABETES DISEASE
... WEB-BASED MONITORING SYSTEM ON THE PRODUCTION PROCESS OF YOGYAKARTA BATIK INDUSTRY INDAH SOESANTI Department of Electrical Engineering and Information Technology, Faculty of Engineering,[r] ...
7
A COMPUTATIONAL HYBRID MODEL WITH TWO LEVEL CLASSIFICATION USING SVM AND NEURAL NETWORK FOR PREDICTING THE DIABETES DISEASE
... controller, two SIMULINK models were constructed which correspond respectively to the conventional (without adaptation) and adaptive (unknown mechanical parameters) Backstepping ...
11
A COMPUTATIONAL HYBRID MODEL WITH TWO LEVEL CLASSIFICATION USING SVM AND NEURAL NETWORK FOR PREDICTING THE DIABETES DISEASE
... the neural network can make traditional statistical methods in a linear model caused oversimplified the complexity of the user's lack of decision-making ...behavior. Neural networks can not only ...
12
A COMPUTATIONAL HYBRID MODEL WITH TWO LEVEL CLASSIFICATION USING SVM AND NEURAL NETWORK FOR PREDICTING THE DIABETES DISEASE
... Although, the existing corner detector techniques have massive improvement in terms of time complexity, there remain open issues and inherent limitations in terms of accuracy and true detection rate of corner points. ...
16
Neural network programming and portability
... supported neural computing [Pach 8 8 ] was ...transfer level and configured in an array to form a network o f ...a neural network programming system to aid the development of various ...
183