请给出介绍神经网络发展历史的文献

以下是介绍神经网络发展历史的文献：

1. "A brief history of neural networks" by Bernhard Schölkopf and Klaus-Robert Müller (2019)

2. "The Deep Learning Revolution" by Terrence J. Sejnowski (2018)

3. "Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville (2016)

4. "Neural Networks: A Comprehensive Foundation" by Simon Haykin (1999)

5. "Neural Networks and Deep Learning: A Textbook" by Charu Aggarwal (2018)

6. "Neural Networks for Pattern Recognition" by Christopher M. Bishop (1995)

7. "Pattern Recognition and Machine Learning" by Christopher M. Bishop (2006)

这些文献介绍了神经网络发展的历史、基本原理、应用等方面的内容，其中一些文献还提供了具体的案例和实例，有助于读者更好地理解和应用神经网络。