Handbook of evolutionary computation

Handbook of neural computation

Bioinformatics the machine learning approach

Graphical models foundations of neural computation

Kalman filtering and neural networks

Clinical Applications of Artificial Neural Networks

A field guide to dynamical recurrent networks

Artificial neural networks in cancer diagnosis, prognosis, and patient management

Computational neural networks for geophysical data processing

Recurrent neural networks for prediction learning algorithms, architectures, and stability

Applications of neural networks in electromagnetics

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