Greenhouse energy consumption prediction using neural networks models

Training feedforward networks with the Marquardt algorithm

Martin Hagan, Mohammad Bagher Menhaj · IEEE Transactions on Neural Networks · 1994 · 7.6K citations

Nonlinear System Identification, Conjugate Gradient Algorithm, Engineering +10

Universal Approximation Using Radial-Basis-Function Networks

Jihun Park, Irwin W. Sandberg · Neural Computation · 1991 · 4K citations

Numerical Analysis, Rbf Networks, Universal Approximation +14

Neural network models in greenhouse air temperature prediction

Pedro Ferreira, E.A. Faria, A.E. Ruano · Neurocomputing · 2002 · 175 citations · Full text

Engineering, Greenhouse Effect, Climate Forecasting +3

Modelling temperature in intelligent buildings by means of autoregressive models

José Gabriel Ríos-Moreno, Mario Trejo-Perea, Rodrigo Castañeda-Miranda et al. · Automation in Construction · 2007 · 104 citations

Built Environment, Engineering, Autoregressive Models +10

Optimized fuzzy control of a greenhouse

Frank Lafont, Jean-François Balmat · Fuzzy Sets and Systems · 2002 · 98 citations

Fuzzy Logic, Fuzzy Systems, Engineering +7