نتایج جستجو برای: debutanizer column anfis regression tree soft sensor
تعداد نتایج: 854134 فیلتر نتایج به سال:
Motor imagery EEG-based BCI has advantages in the assistance of human control of peripheral devices, such as the mobile robot or wheelchair, because the subject is not exposed to any stimulation and suffers no risk of fatigue. However, the intensive training necessary to recognize the numerous classes of data makes it hard to control these nonholonomic mobile systems accurately and effectively....
Recently proposed budding tree is a decision tree algorithm in which every node is part internal node and part leaf. This allows representing every decision tree in a continuous parameter space, and therefore a budding tree can be jointly trained with backpropagation, like a neural network. Even though this continuity allows it to be used in hierarchical representation learning, the learned rep...
The column-tree constructional schemes allows for a reliable and convenient erection of moment resisting steel frames. Strengthening of column-tree connection with a haunch part can significantly improve seismic behavior of whole system. In the current study behavior of column-tree connections with haunched beams and end plate splices have been investigated. Special attention was paid for evalu...
In this paper, the sensor selection approach is investigated with the aim of using fewer sensors to provide reliable fuel cell diagnostic and prognostic results. The sensitivity of sensors is firstly calculated with a developed fuel cell model. With sensor sensitivities to different fuel cell failure modes, the available sensors can be ranked. A sensor selection algorithm is used in the analysi...
Inferential (or soft) sensors are used in industry to infer the values of imprecisely and rarely measured completely unmeasured) variables from online (e.g., pressures, temperatures). The main challenge, akin classical model overfitting, designing an effective inferential sensor is selection a correct structure sensor. represented by number inputs sensor, which correspond their (simple) combina...
Productivity of rainfed crops may be predicted using the climatic parameters. Crop yield prediction has an important role in agricultural policies including determining the crop price. Well-known prediction methods are regression method and arterial neural networks. In this paper soybean yield is predicted using Adaptive Nero-Fuzzy Interface System (ANFIS) and 11 years of climatic data (1998-20...
A spread mooring system (SMS) allows a ship or floating platform to moor the seafloor using multiple lines at restricted region with fixed heading in harsh weather. These systems can be used for operations of ships different tonnage sea depths. The optimal design these is challenging engineering problem because effects many parameters and changing environmental conditions. Modern soft computing...
Abstract The evaluation of groundwater quality plays an important role in the management groundwater. main objectives present work are to develop a novel soft computing framework including Adaptive Neuro-Fuzzy Inference System (ANFIS), Wavelet-ANFIS (WANFIS), Gene Expression Programming (GEP), and Wavelet-GEP (WGEP) for temporal spatial estimation electrical conductivity (EC) East Azerbaijan pr...
This article presents a study of academic performance evaluation using soft computing techniques inspired by the successful application of K-means, fuzzy C-means (FCM), subtractive clustering (SC), hybrid subtractive clustering-fuzzy C-means (SC-FCM) and hybrid subtractive clustering-adaptive neuro fuzzy inference system (SC-ANFIS) methods for solving academic performance evaluation problems. M...
Wireless Ad Hoc Network (WANET) consists of multiple, possibly mobile, nodes, which maintain network connectivity through wireless communications without any fixed centralized backbone infrastructure. The nodes in an ad hoc wireless network are thin clients, powered by batteries with a limited energy which can acts as a node also and can work as router to forward the packets or information betw...
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