Titlebook: Scientific Applications of Neural Nets; Proceedings of the 1 John W. Clark,Thomas Lindenau,Manfred L. Ristig Conference proceedings 1999 Sp

stress-response

Nuclear physics with neural networks, neural network modeling of nuclear ground state masses, the cleanprop algorithm for training neural networks on data with error bars, global neural network models of nuclear stability and branching ratios of decay of unstable nuclides, and higher-order probabilistic perceptrons for classifying nucl

capsule

不透明性

允许

脊椎动物

Gullible

trogen (N) and phosphorous (P) (Ceccotti et al., 1997), S has become a major limiting factor for plant production in industrialised as well as remote rural areas. But although today there are only a few places left where the average S input from atmospheric and fertiliser sources satisfies the deman