Artificial Neural Networks
Artificial Neural Networks
复制标题
DOI：
10.1002/3527603786.ch7
复制
发表时间：
2005-06
期刊：
影响因子：
--
通讯作者：
Einar Broese;Hans Ulrich Löffler
中科院分区：
文献类型：
--
作者：
Einar Broese;Hans Ulrich Löffler
近年来，人工神经网络（ANN）吸引了全世界的科学家和工程师。他们有能力学习和回忆（人类）大脑的主要功能。这种魅力的一个主要原因是人工神经网络受到“生物学”的启发。他们有明显的能力模仿大脑的活动，做出决定，并得出结论时，提出了复杂和嘈杂的信息。然而，大脑的生物神经网络（BNN）和ANN之间存在巨大差异。
In recent years artificial neural networks (ANNs) have fascinated scientists and engineers all over the world. They have the ability to learn and recall the main functions of the (human) brain. A major reason for this fascination is that ANNs are ‘biologically’ inspired. They have the apparent ability to imitate the brain’s activity to make decisions and draw conclusions when presented with complex and noisy information. However there are vast differences between biological neural networks (BNNs) of the brain and ANNs.