Neural network fundamentals with graphs, algorithms, and applications
Neural network fundamentals with graphs, algorithms, and applications
Usage of PSO algorithm for parameters identification of district heating network simulation model
ICS'10 Proceedings of the 14th WSEAS international conference on Systems: part of the 14th WSEAS CSCC multiconference - Volume II
Innovative strategy of SOMA control parameter setting
NNECFSIC'12 Proceedings of the 12th WSEAS international conference on Neural networks, fuzzy systems, evolutionary computing & automation
Neural network synthesis via asynchronous analytic programming
NNECFSIC'12 Proceedings of the 12th WSEAS international conference on Neural networks, fuzzy systems, evolutionary computing & automation
ANN synthesis for an agglomeration heating power consumption approximation
ACMOS'11 Proceedings of the 13th WSEAS international conference on Automatic control, modelling & simulation
Simulation model of heat distribution and consumption in practical use
ACMOS'11 Proceedings of the 13th WSEAS international conference on Automatic control, modelling & simulation
Neural network synthesis dealing with classification problem
ACMOS'11 Proceedings of the 13th WSEAS international conference on Automatic control, modelling & simulation
Usage of peak functions in heat load modeling of district heating system
ACMOS'11 Proceedings of the 13th WSEAS international conference on Automatic control, modelling & simulation
Prediction of the intensity of direct solar irradiation
ACMOS'11 Proceedings of the 13th WSEAS international conference on Automatic control, modelling & simulation
Hi-index | 0.00 |
ANN models are computational modeling tools that have recently emerged and found extensive acceptance in many disciplines for modeling complex real-world problems. ANNs produce complicated nonlinear models relating the inputs (the independent variables ...