Prediction of soil temperature by using artificial neural networks algorithms

Nonlinear Analysis, Theory, Methods and Applications

Volumn 47, Issue 3, 2001, Pages 1737-1748

  George, Raju K ^b  

^a M S UNIVERSITY OF BARODA   (India)

^b NONE

Author keywords

Back propagation; Generalized Widrow Hoff algorithm; McCulloch Pitts type Networks; Prediction of Soil Temperature

Indexed keywords

BACKPROPAGATION; CONVERGENCE OF NUMERICAL METHODS; LEARNING SYSTEMS; NEURAL NETWORKS; SOILS; TEMPERATURE MEASUREMENT; THEOREM PROVING;

GENERALIZED WIDROW-HOFF ALGORITHMS; SOIL TEMPERATURE;

ALGORITHMS;

EID: 0035424839     PISSN: 0362546X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0362-546X(01)00306-6     Document Type: Conference Paper

References (21)

1. Harmonic analysis and synthesis: Basic principles of the technique and some applications to temperature data
2. Approximation by super positions of a sigmoidal function
3. Prediction of soil temperature using Artificial Neural Networks
4. Kolmogrove's mapping neural network existence
5. The Widrow-Hoff algorithm for McCulloch Pitts type neuron
6. Analysis of soil temperatures in the arid zone of India by Fourier techniques
7. Harmonic analysis and modeling of annual soil temperatures variations
8. An introduction to computing with neural nets
9. A model for diurnal variation in soil and air temperature
10. An introduction to computing with neural nets