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105 # 2264
Using artificial neural networks to assess apples ripeness degree
109 # 2402
Selection of heat pumps supported by artificial neural networks for single-family houses for complete and incomplete data sets
113 # 2373
Innovative method for identifying selected qualitative characteristics of seeds using image analysis and artificial neural networks (ANN)
115 # 2531
The Method used to predict time series using artificial neural networks
117 # 2574
Neural classification of images showing dried vegetables
118 # 2610
An Artificial Neural Networks-based method for assessing technical and constructional modernity of farm tractors. Part I: Method guidelines
120 # 2695
Using artificial neural networks to describe flour permittivity
121 # 2731
Method allowing to assess technical and constructional modernity of farm tractors with the use of Artificial Neural Networks. Part II: Neural models for farm tractor modernity assessment
121 # 2732
Method allowing to assess technical and constructional modernity of farm tractors with the use of Artificial Neural Networks. Part III: Method application examples
121 # 2747
Prediction of temperature changes for compost bed depending on aeration degree, carried out using artificial neural networks
125 # 2870
Modelling of food-processing with the use of artificial neural networks
149 # 3546
Investigation of the impact of water content and activity on electric properties of honey with the use of neuron networks
155 # 3664
Computer image analysis and artificial neuron networks in the qualitative assessment of agricultural products
155 # 3665
The use of neural image analysis in the identification of information encoded in a graphical form
19 # 996
Application of artificial neural networks to modelling of grain losses rising in a combine harvester
35 # 911
A comparison of the results of modeling the mixing process of homogenous granular components using a stochastic model and the back propagation method in neural networks
35 # 881
Radial neural networks as a tool for estimation of heterogenity of the air flow through a stone store
62 # 699
Assessment of effectiveness of the neural prediction based on selected methods exemplified by distribution of agricultural products
62 # 707
Genetic algorithms as a optimization tool applied in neural networks
62 # 711
Neural networks in modeling agricultural engineering processes with limited date file
62 # 706
Optimization of decision processes using chosen methods of artificial intelligence
62 # 705
The analysis of assumptions for modeling sugar beet crop with utilization of artificial neural networks
67 # 931
Algorithm for identification of biological materials images
68 # 1371
Adequacy of the mathematical model and the models based on artificial neural networks to evaluating the kinetic strength of feed pellets
68 # 1367
An attempt to application of artificial neural network to evaluating technological advancement of agricultural machines
68 # 1393
Interactive educational system introducing into issue of artificial neural networks
68 # 1392
Prediction of sugar beet yields with the use of neural network techniques
68 # 1395
Using the neural networks for prediction of biotechnological process parameters
74 # 1263
Neural method of maximizing the values of the results of the simultaneous production of enzymes by yeast Kluyveromyces marxianus K-4
74 # 1272
The neurals model of daily prediction of solar radiation
86 # 297
ethod of Forecasting technical parameter values of state--of-the-art farm machines. Part No I. Forecasting technique for farm tractor parameters
87 # 367
Utilization of ANN to determine wheat grain hardness
88 # 461
Analysis of celery hardness during drying process
88 # 427
Hardness model for wheat caryopsises using Artificial Neural Networks
88 # 413
Interactive education system supporting the use of artificial neural networks in agriculture
88 # 460
Modeling the threshing process when using artificial neural networks
90 # 1771
Determining the value of basic technical parameters for modern harvester combines with the use of ANN
90 # 1793
Prognose of the content of the sugar in roots of sugar-beet with utilization of the techniques regression and neural
90 # 1792
The analysis of possibilities of predictions of soil dislocations during ploughing using standard statistical methods as well as artificial neural networks
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