This paper describes a work on transfer learning in neural networks carried out in 1970s and early 1980s, which produced its first publication in 1976. In the contemporary research on transfer learning there is a belief that pioneering work on transfer learning took place in early 1990s, and this paper updates that knowledge, pointing out that the transfer learning research started more than a decade earlier. This paper reviews that 1970s research and addresses important issues relevant for the current transfer learning research. It gives a mathematical model and geometric interpretation of transfer learning, and a measure of transfer learning indicating positive, negative, and no transfer learning. It presents experimental investigation in the mentioned types of transfer learning. And it gives an application of transfer learning in pattern recognition using datasets of images.

中文翻译：

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1976 年第一篇关于神经网络迁移学习的论文的提醒

这篇论文描述了 1970 年代和 1980 年代初在神经网络中进行迁移学习的工作，该工作于 1976 年首次出版。 在当代关于迁移学习的研究中，人们认为迁移学习的开创性工作发生在 1990 年代初，这篇论文更新了这些知识，指出迁移学习研究早在十多年前就开始了。本文回顾了 1970 年代的研究，并解决了与当前迁移学习研究相关的重要问题。它给出了迁移学习的数学模型和几何解释，以及迁移学习的度量，指示正迁移学习、负迁移学习和非迁移学习。它对上述类型的迁移学习进行了实验研究。