Search Results - subject:"Multilayer Perceptron"

Multilayer perceptron applied to the estimation of the influence of the solar spectral distribution on thin-film photovoltaic modules

Piliougine, Michel; Elizondo, David; Mora-López, Llanos; … - In: Applied Energy 112 (2013) C, pp. 610-617

In this paper, we propose the use of a methodology to characterise the electrical parameters of several thin-film photovoltaic module technologies. This methodology allows us to use not only solar irradiance and module temperature as classical models do, but also spectral distribution of solar...

Persistent link: https://www.econbiz.de/10011040736

Support Vector Machines and Multilayer Perceptron Networks Used to Evaluate the Cyanotoxins Presence from Experimental Cyanobacteria Concentrations in the Trasona Reservoir (Northe...

Vilán, J. Vilán; Fernández, J. Alonso; Nieto, P. García - In: Water Resources Management 27 (2013) 9, pp. 3457-3476

diagnostic model by using support vector machines and multilayer perceptron networks from cyanobacterial concentrations …

Persistent link: https://www.econbiz.de/10010997513

A Review of Artificial Neural Networks: How Well Do They Perform in Forecasting Time Series?

Gómez-Ramos, Elsy; Venegas-Martínez, Francisco - In: Analítika 6 (2013) 2, pp. 7-15

general, there are five groups of networks used as forecasting tools: 1) Feedforward Networks, like the Multilayer Perceptron …

Persistent link: https://www.econbiz.de/10010755947

Nonlinear forecasting of the Gold Miner Spread : an application of correlations filters

Dunis, Christian; Laws, Jason; Middleton, Peter W.; … - In: Intelligent systems in accounting finance and … 20 (2013) 4, pp. 207-231

Persistent link: https://www.econbiz.de/10010233196

Application of echo state networks in short-term electric load forecasting

Deihimi, Ali; Showkati, Hemen - In: Energy 39 (2012) 1, pp. 327-340

The paper presents the application of echo state network (ESN) to short-term load forecasting (STLF) problem in power systems for both 1-h and 24-h ahead predictions while using the least number of inputs: current-hour load, predicted target-hour temperature, and only for 24-h ahead forecasting,...

Persistent link: https://www.econbiz.de/10010808024

Dynamic soft sensors for NOx emissions in a circulating fluidized bed boiler

Liukkonen, Mika; Hälikkä, Eero; Hiltunen, Teri; … - In: Applied Energy 97 (2012) C, pp. 483-490

Fuel flexibility and the ability to burn low-grade fuels are major advantages generally associated with fluidized bed combustion. The use of demanding heterogeneous fuels such as biomass, however, not only increases the need for monitoring the dynamics of the process but also complicates the...

Persistent link: https://www.econbiz.de/10011040577

River Suspended Sediment Prediction Using Various Multilayer Perceptron Neural Network Training Algorithms—A Case Study in Malaysia

Mustafa, M.; Rezaur, R.; Saiedi, S.; Isa, M. - In: Water Resources Management 26 (2012) 7, pp. 1879-1897

hydraulic structures. In this study, a Multilayer Perceptron (MLP) feed forward neural network with four different training …

Persistent link: https://www.econbiz.de/10010997800

Pan Evaporation Modeling Using Neural Computing Approach for Different Climatic Zones

Kim, Sungwon; Shiri, Jalal; Kisi, Ozgur - In: Water Resources Management 26 (2012) 11, pp. 3231-3249

neural networks models, namely multilayer perceptron-neural networks model (MLP-NNM), generalized regression neural networks …

Persistent link: https://www.econbiz.de/10010998225

Relevance of Functional Flexibility for Heterogeneous Sales Response Models - A Comparision of Parametric and Seminoparametric Models

Hruschka, Harald - Wirtschaftswissenschaftliche Fakultät, Universität … - 2004

multilayer perceptron is compared to a strict parametric multiplicative model and approaches the maximum value of posterior model … functional flexibility. That is why in this contribution a model is developed possessing both these features. It is a multilayer … perceptron with store-specific coefficients which is specified in a hierarchical Bayesian framework. An appropriate Markov Chain …

Persistent link: https://www.econbiz.de/10005121029

Characterizing the Socio-Economic Driving Forces of Groundwater Abstraction with Artificial Neural Networks and Multivariate Techniques

Jalala, Said; Hani, Azzedine; Shahrour, Isam - In: Water Resources Management 25 (2011) 9, pp. 2147-2175

Integrated groundwater quantity management in the Middle East region must consider appropriate control measures of the socio economic needs. Hence, there is a need for a better knowledge and understanding of the socio economic variables influencing the groundwater quantity. Gaza Strip was chosen...

Persistent link: https://www.econbiz.de/10010794689