Introduction to neural networks in java introduces the java programmer to the world of neural networks and artificial intelligence neural network architectures such as the feedforward backpropagation hopfield and kohonen networks are discussed additional ai topics such as genetic algorithms and simulated annealing are also introduced practical examples are given for each neural network examples include the traveling salesman problem handwriting recognition fuzzy logic and learning . 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 in java introduces the java programmer to the world of neural networks and artificial intelligence neural network architectures such as the feedforward backpropagation hopfield and kohonen networks are discussed additional ai topics such as genetic algorithms and simulated annealing are also introduced practical examples are given for each neural network examples include the traveling salesman problem handwriting recognition fuzzy logic and learning . 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