An Introduction to Neural Networks
by Ben Krose, Patrick van der Smagt
Number of pages: 135
This manuscript attempts to provide the reader with an insight in artificial neural networks. The choice of describing robotics and vision as neural network applications coincides with the neural network research interests of the authors.
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by David Kriesel - dkriesel.com
Text and illustrations should be memorable and easy to understand to offer as many people as possible access to the field of neural networks. The chapters are individually accessible to readers with little previous knowledge.
by Kenji Suzuki - InTech
The purpose of this book is to provide recent advances of artificial neural networks in biomedical applications. The target audience includes professors and students in engineering and medical schools, medical doctors, healthcare professionals, etc.
by Milan Hajek - University of KwaZulu-Natal
Contents: Introduction; Learning process; Perceptron; Back-propagation networks; The Hopfield network; Self-organizing feature maps; Temporal processing with neural networks; Radial-basis function networks; Adaline (Adaptive Linear System).
by Allessandro Treves, Yasser Roudi - SISSA
We review the common themes, the network models and the mathematical formalism underlying our studies about different stages in the evolution of the human brain. These studies discuss the evolution of cortical networks in terms of their computations.