Introduction to neural networks for java second edition introduces the java programmer to the world of neural networks and artificial intelligence neural network architectures such as the feedforward hopfield and self organizing map architectures are discussed training techniques such as backpropagation genetic algorithms and simulated annealing are also introduced practical examples are given for each neural network examples include the traveling salesman problem handwriting . Introduction to neural networks with java second edition introduces the java programmer to the world of neural networks and artificial intelligence neural network architectures such as the feedforward hopfield and self organizing map architectures are discussed training techniques such as backpropagation genetic algorithms and simulated annealing are also introduced practical examples are given for each neural network examples include the traveling salesman problem handwriting . Introduction to neural networks with java second edition introduces the java programmer to the world of neural networks and artificial intelligence neural network architectures such as the feedforward hopfield and self organizing map architectures are discussed training techniques such as backpropagation genetic algorithms and simulated annealing are also introduced practical examples are given for each neural network examples include the traveling salesman problem handwriting . Title introduction to neural networks for java 2nd edition author wikictsnetorg annett baier 2020 11 29 11 12 14 subject introduction to neural networks for java 2nd edition. Introduction to neural networks for java second edition introduces the java programmer to the world of neural networks and artificial intelligence neural network architectures such as the feedforward hopfield and self organizing map architectures are discussed training techniques such as backpropagation genetic algorithms and simulated annealing are also introduced practical examples