Investigation on artificial ant using analytic programming
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Impact of weather inputs on heating plant: agglomeration modeling
NN'09 Proceedings of the 10th WSEAS international conference on Neural networks
Application of evolutionary algorithm on aerodynamic wing optimisation
ECC'08 Proceedings of the 2nd conference on European computing conference
MIMO CMAC neural network classifier for solving classification problems
Applied Soft Computing
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
Forecast of heat demand according the Box-Jenkins methodology for specific locality
ICS'10 Proceedings of the 14th WSEAS international conference on Systems: part of the 14th WSEAS CSCC multiconference - Volume I
A comparison of linear genetic programming and neural networks inmedical data mining
IEEE Transactions on Evolutionary Computation
Design of a model for heat demand prediction using the neural network synthesis
ASM'12 Proceedings of the 6th international conference on Applied Mathematics, Simulation, Modelling
| Hi-index | 0.00 |
This article deals with Analytic Programming (AP) which was proven to be highly effective tool of Artificial Neural Network (ANN) synthesis and optimization. AP is used here to obtain optimal ANN which satisfactory solve given problem of classification. The algorithm is theoretically explained and successfully used to perform classification upon real life data of breast cancer diagnosis. Very simple but effective ANN is acquired as a result.