نتایج جستجو برای: hybrid ann
تعداد نتایج: 214912 فیلتر نتایج به سال:
A Wireless Sensor Network with Soft Computing Localization Techniques for Track Cycling Applications
In this paper, we propose two soft computing localization techniques for wireless sensor networks (WSNs). The two techniques, Neural Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN), focus on a range-based localization method which relies on the measurement of the received signal strength indicator (RSSI) from the three ZigBee anchor nodes distributed throughout the track cycl...
Voltage sag is one of the severe forms of power quality problems in distribution network. It should be mitigated as soon as possible for preventing the load from getting damaged. In the paper, a hybrid approach for voltage sag mitigation in distribution system is proposed. Mitigation is performed by optimally installing DG units in the network. In the hybrid approach, we use two well known Arti...
Waste management is currently a fast-growing environmental business and one of solutions to manage the huge amount waste being generated on landfills use disposed as an energy source. There major focus forecasting, highlighting importance having reliable data volume composition municipal solid in landfills. However, lack historical forcing development machine-learning based models. This study c...
This paper presents a novel hybrid method for short-term load forecasting. The system comprises of two artificial neural networks (ANN), assembled in a hierarchical order. The first ANN is a multilayer perceptron (MLP) which functions as integrated load predictor (ILP) for the forecasting day. The output of the ILP is then fed to another, more complex MLP, which acts as an hourly load predictor...
Cash forecasting plays a vital role in any financial organization to maintain the optimal cash balance to satisfy the customer needs on a daily basis without any delay. In the traditional approach statistical methods were used for cash forecasting. Banks have great challenges to avoid the surplus cash as well as to keep adequate cash to meet the customer demand. An intelligent model is needed t...
nowadays, software cost estimation (sce) with machine learning techniques are more performance than other traditional techniques which were based on algorithmic techniques. in this paper, we present a new hybrid model of multi-layer perceptron (mlp) artificial neural network (ann) and ant colony optimization (aco) algorithm for high accuracy in sce called multilayer perceptron ant colony optimi...
The objective of this paper is to develop a novel wind speed forecasting technique, which produces more accurate prediction. The Wavelet Transform (WT) along with the Auto Regressive Moving Average (ARMA) is chosen to form a hybrid whose combination is expected to give minimum Mean Absolute Prediction Error (MAPE). A simulation study has been conducted by comparing the forecasting results using...
Detecting unknown or modified attacks is one of the recent challenges in the field of IDS. Anomaly based IDS can play a very important role in this case. In the first part of this paper, we will focus on how ANN is recently used to address these issues. Number of the researchers has already shown the importance of the various Artificial Neural Network (ANN) based techniques for anomaly detectio...
the improvement of high-through-put gene profiling based microarrays technology has provided monitoring the expression value of thousands of genes simultaneously. detailed examination of changes in expression levels of genes can help physicians to have effi cient diagnosing, classification of tumors and cancer’s types as well as effective treatments. finding genes that can classify the group of...
Artificial neural networks are bio-inspired models used mainly in the problems solution with nonlinear behavior. Reconfigurable devices (FPGA) are widely employed in the implementation of artificial neural networks. The contributions of this work is in the implementation of a Multilayer ANN with four neurons, one hidden layer and hyperbolic tangent for activation function. A nonlinear function ...
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