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The Handbook of Neural Computation is a practical, hands-on guide to the design and implementation of neural networks used by scientists and engineers to tackle difficult and/or time-consuming problems.
The handbook bridges an information pathway between scientists and engineers in different disciplines who apply neural networks to similar problems.
Handbook of Neural Computation
Handbook of Neural Network Signal Processing
Introduction To The Theory Of Neural Computation
Neural Networks: Theory, Algorithms, Simulation, and Applications
Introduction to Neural Networks
Handbook of Deep Learning Applications
Handbook of Research on Computational Intelligence for Engineering, Science, and Business
Neural Networks and Deep Learning
Computational Intelligence for Connective Cognition Networks
Recent Advances in Artificial Neural Networks
Neural Network Perspectives on Cognition and Adaptive Robotics
Computer Engineering Machine Learning and Neural Networks
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