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Theory and Chaos
A dynamic mapping based on probabilistic relaxation 1450
Neural maps for mobile robot navigation 2011
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activation adaptive agent analog analysis applications approach architecture array artificial neural networks backpropagation behavior calculation capacitance cell chip circuit classification cluster CMOS component connection data set database distributed dynamic equation error feature feedback feedforward Figure FPGA Gaussian hardware hidden units hybrid IEEE implementation input integrated iteration learning algorithm limit cycle linear machine memory method modules multilayer multilayer perceptrons Neurocontroller neuron nodes noise nonlinear obtained optic flow optical optimal oscillators Paper Title/Author parallel parameters partitioning pattern performance PID controller polarization prediction problem Proc processor proposed Q-learning recognition reinforcement learning robot rule extraction saccade selection self-organizing Self-Organizing Map sensor sequential Session shown in Fig signal simulated annealing spatial speed strategy structure superior colliculus supervised learning synapse target techniques threshold tion transistor tuning variables vector visual VLSI voltage weights