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[PDF] Top 20 A Neural Network Approach To Real Time Rainfall Estimation

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A Neural Network Approach To Real Time Rainfall Estimation

A Neural Network Approach To Real Time Rainfall Estimation

... for neural networks based on algorithms and mathematics known as threshold ...of neural networks splitting into two different approaches was done by this ...of neural networks in artificial ... See full document

10

Software Development Effort Estimation – Neural Network Vs. Regression Modeling Approach

Software Development Effort Estimation – Neural Network Vs. Regression Modeling Approach

... a neural network (NN) approach and a multiple regression modeling approach to model and predict the software development effort based on an available real life dataset which is prepared ... See full document

7

A Neural Network based Real Time Hand Gesture Recognition System

A Neural Network based Real Time Hand Gesture Recognition System

... from real-time video ...a real time vision system for its application within visual interaction environments through hand gesture recognition, using general-purpose hardware and low cost ... See full document

6

Real-Time Wheat Classification System for Selective Herbicides Using Broad Wheat Estimation in Deep Neural Network

Real-Time Wheat Classification System for Selective Herbicides Using Broad Wheat Estimation in Deep Neural Network

... an approach for learning through a combination of incremental class augmentation and novelty ...by neural networks which provide basics for the novelty ...auto-encoder network and one-class support ... See full document

6

Artificial Neural Network Approach for Estimation of Land Surface Temperature

Artificial Neural Network Approach for Estimation of Land Surface Temperature

... in time the LST values for all the Rio dos Sinos hydrographic basin/RS used as variables in modeling only altitude, position, temperature and air relative ... See full document

11

Real Time Voltage Collapse Prediction Using Artificial Neural Network

Real Time Voltage Collapse Prediction Using Artificial Neural Network

... ANN approach is proposed to predict voltage instability proximity in order to reduce the computational ...features network in the case of L- indicator, which make the 12 input features more preferable to ... See full document

6

An Artificial Neural Network Based Real-time Reactive Power Controller

An Artificial Neural Network Based Real-time Reactive Power Controller

... In the past, several techniques have been employed using sensitivity relationships and gradient search approaches to overcome power system problem. In these approaches, the bus voltage violations are alleviated one by ... See full document

6

A Multivariate Artificial Neural Network Approach for Rainfall Forecasting: Case Study of Victoria, Australia

A Multivariate Artificial Neural Network Approach for Rainfall Forecasting: Case Study of Victoria, Australia

... Australian rainfall is also affected by these key modes of complex climate ...Victorian rainfall. Past studies considering southeast Australian rainfall predictability could achieve a maximum of 30% ... See full document

5

Towards a definition of a real-time forecasting network for rainfall induced shallow landslides

Towards a definition of a real-time forecasting network for rainfall induced shallow landslides

... of approach, however, is not very helpful in alerting civil protection authorities or other stakeholders to when a potential damaging event could oc- ...of rainfall triggering thresholds to determine when ... See full document

15

Approach to Chemometrics Models by Artificial Neural Network for Structure: First Applications for Estimation Retention Time of Doping Agent

Approach to Chemometrics Models by Artificial Neural Network for Structure: First Applications for Estimation Retention Time of Doping Agent

... an estimation of the concentration found in urine was required for threshold compounds ...retention time (RT) tolerance window must be within the range of ±2% between the suspect analyte and the QC of the ... See full document

23

Rainfall Forecasting Using Backpropagation Neural Network

Rainfall Forecasting Using Backpropagation Neural Network

... on time-series has been researched by Iriany et ...days rainfall period and forecast it with GSTAR_SUR Model but this model can only explained about ...physics-based approach to predict ... See full document

11

Application Of Lvq Neural Network In Real-Time Adaptive Traffic Signal Control

Application Of Lvq Neural Network In Real-Time Adaptive Traffic Signal Control

... system approach. The central computer determines the timing phase, cycle time and control the traffic ...by real-time distributed system ...distributed approach, local computer ... See full document

15

Real Time Results of a Fuzzy Neural Network Active Noise Controller

Real Time Results of a Fuzzy Neural Network Active Noise Controller

... in real time to improve the system performance [3, 9, ...this approach is that the size of the filter increases exponentially with the number of inputs and the computation task is extremely ... See full document

5

Neural Network Approaches for Software Development Time Estimation: A Review

Neural Network Approaches for Software Development Time Estimation: A Review

... effort estimation calculates the effort necessary to complete the project, in term of scheduling, acquiring resources, and meeting ...Neuro-Fuzzy Approach for Software Development Time ...proposed ... See full document

9

A neural network approach to real-time condition monitoring of induction motors

A neural network approach to real-time condition monitoring of induction motors

... Therefore, for the detection of turn-to-turn insulation faults and bearing wear in single-phase induction motors, the inputs to the neural network-based fault detector a[r] ... See full document

6

Neural Network Based Time Delay Estimation

Neural Network Based Time Delay Estimation

... novel approach for estimating constant time delay through the use of neural networks (NN) is ...estimated time delay. The network is first trained with one thousand training data set in ... See full document

8

Neural Network-Based Adaptive Motion Control for a Mobile Robot with Unknown Longitudinal Slipping

Neural Network-Based Adaptive Motion Control for a Mobile Robot with Unknown Longitudinal Slipping

... RBF neural network approach based on whole model approximation is ...The real-time data acquisition of inertial measure unit (IMU), encoders and other sensors is employed to get the ... See full document

9

Optical measurement system for real-time estimation
of gas pollutants' concentration based on artificial neural network  

Optical measurement system for real-time estimation of gas pollutants' concentration based on artificial neural network  

... 3UHVHQWHGUHVXOWVZHUHREWDLQHGZLWKWKH&3 QHWZRUN ZLWK D VL]H RI XQLWV LQ WKH LQSXW OD\HU [ XQLWV LQ WKH .RKRQHQ OD\HU DQG XQLWV LQ WKH *URVVEHUJ OD\HU 7KH OHDUQLQJ SURFHVV LQFOXGHG V[r] ... See full document

7

A New Approach for Rainfall Prediction using  Artificial Neural Network

A New Approach for Rainfall Prediction using Artificial Neural Network

... Figure 1 shows the significant steps engaged in the information flow sequence, as well as the creation of ANN prediction models, and the results discovered at different steps. It should be well known that a subset of the ... See full document

12

Compliant force control for automated sub-sea inspection

Compliant force control for automated sub-sea inspection

... The PUMA 560 does have some limitations of which the most serious is the low clock rate at which it will receive commands fi*om an external computer; only once every 28ms. However, for compliant force control with low ... See full document

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