Robust polynomial neural networks in quantative-structure activity relationship studies
Systems Analysis Modelling Simulation - Special issue: Self-organising modelling and simulation
Genetic programming for human oral bioavailability of drugs
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Novel approaches for small biomolecule classification and structural similarity search
ACM SIGKDD Explorations Newsletter - Special issue on data mining for health informatics
Identification of ischemic heart disease via machine learning analysis on magnetocardiograms
Computers in Biology and Medicine
Genetic programming for QSAR investigation of docking energy
Applied Soft Computing
EvoBIO'07 Proceedings of the 5th European conference on Evolutionary computation, machine learning and data mining in bioinformatics
GCCB'06 Proceedings of the 2006 international conference on Distributed, high-performance and grid computing in computational biology
Urinary nucleosides as potential tumor markers evaluated by learning vector quantization
Artificial Intelligence in Medicine
Application of Machine Learning Techniques to Predict Software Reliability
International Journal of Applied Evolutionary Computation
| Hi-index | 0.00 |
From the Publisher:This new edition of a best-seller offers a sound introduction to artificial neuronal networks--with insights into their architecture, functioning, and applications. Well organized and clearly written, it offers a wealth of useful information and invaluable practical guidance on this growing new area of chemical research.