The influence of the sigmoid function parameters on the speed of backpropagation learning J Han, C Moraga International workshop on artificial neural networks, 195-201, 1995 | 1316 | 1995 |
Multilayer feedforward neural network based on multi-valued neurons (MLMVN) and a backpropagation learning algorithm I Aizenberg, C Moraga Soft Computing 11, 169-183, 2007 | 256 | 2007 |
A diffusion-neural-network for learning from small samples C Huang, C Moraga International Journal of Approximate Reasoning 35 (2), 137-161, 2004 | 210 | 2004 |
Artificial neural networks in time series forecasting: A comparative analysis H Allende, C Moraga, R Salas Kybernetika 38 (6), [685]-707, 2002 | 122 | 2002 |
Cellular neural networks and computational intelligence in medical image processing I Aizenberg, N Aizenberg, J Hiltner, C Moraga, EM Zu Bexten Image and vision computing 19 (4), 177-183, 2001 | 93 | 2001 |
Hierarchical distributed genetic algorithms F Herrera, M Lozano, C Moraga International journal of intelligent systems 14 (11), 1099-1121, 1999 | 89 | 1999 |
ALSYN: Flexible rule-based layout synthesis for analog IC's VM Zu Bexten, C Moraga, R Klinke, W Brockherde, KG Hess IEEE journal of solid-state circuits 28 (3), 261-268, 1993 | 80 | 1993 |
Spectral transform decision diagrams RS Stanković, T Sasao, C Moraga Representations of discrete functions, 55-92, 1996 | 76 | 1996 |
Fourier analysis on finite groups with applications in signal processing and system design RS Stankovic, C Moraga, J Astola John Wiley & Sons, 2005 | 74 | 2005 |
Computing with antonyms E Trillas, C Moraga, S Guadarrama, S Cubillo, E Castineira Forging new frontiers: Fuzzy pioneers I, 133-153, 2007 | 66 | 2007 |
Representations of Multiple-Valued Logic Functions RS Stankovic, J Astola, C Moraga Springer Nature, 2022 | 63 | 2022 |
Efficient derivation of Reed-Muller expansions in multiple-valued logic systems B Harking, C Moraga 1992 Proceedings The Twenty-Second International Symposium on Multiple …, 1992 | 62 | 1992 |
A feedforward neural network based on multi-valued neurons I Aizenberg, C Moraga, D Paliy Computational Intelligence, Theory and Applications: International …, 2005 | 59 | 2005 |
Extracting fuzzy if–then rules by using the information matrix technique C Huang, C Moraga Journal of Computer and System Sciences 70 (1), 26-52, 2005 | 54 | 2005 |
Complex spectral logic C Moraga Proceedings of the eighth international symposium on Multiple-valued logic …, 1978 | 51 | 1978 |
Introduction to fuzzy logic C Moraga Facta universitatis-series: Electronics and Energetics 18 (2), 319-328, 2005 | 48 | 2005 |
A fuzzy risk model and its matrix algorithm C Huang, C Moraga International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2002 | 44 | 2002 |
Multiple-valued logic and artificial intelligence fundamentals of fuzzy control revisited C Moraga, E Trillas, S Guadarrama Artificial Intelligence Review 20, 169-197, 2003 | 42 | 2003 |
Optimization of feedforward neural networks J Han, C Moraga, S Sinne Engineering Applications of Artificial Intelligence 9 (2), 109-119, 1996 | 41 | 1996 |
An evolutionary method to find good building-blocks for architectures of artificial neural networks CM Friedrich, C Moraga Sixth International Conference on Information Processing and Management of …, 1996 | 40 | 1996 |