Part 5/9:
The 1970s saw a decline in neural network research following criticisms of Rosenblatt’s work, particularly as Minsky and Papert published their book "Perceptrons." Their findings detailed the limitations of single-layer perceptrons, suggesting that significant advancements in AI would require alternative symbolic approaches.
However, outside of Rosenblatt's work, researchers like Bernard Widrow and Ted Hoff began exploring solutions to the limitations of single-layer networks. They developed the Least Mean Squares (LMS) algorithm, introducing a more effective method for training slightly more complex neural structures by minimizing the error between predicted and target outputs.