If you are looking to deepen your understanding of this book,

If you are looking for introductory material on ANNs, you can search for open-access lecture notes or tutorials on "pattern recognition techniques" which often cover the same theoretical foundations covered in the book. 6. Conclusion

Introduces the neuron model, activation functions, and synaptic dynamics.

Explores learning methods, stability, and convergence.

Dr. B. Yegnanarayana is a highly respected researcher and educator, formerly a professor at the Department of Computer Science and Engineering at the and later with IIT Hyderabad . With decades of experience in speech processing , image processing , artificial intelligence , and neural networks , his approach combines practical insight with theoretical rigor.

Details on Perceptron learning, Backpropagation Network (BPN), and multilayer nets.