Solving ordinary differential equations I (2nd revised. ed.): nonstiff problems
Solving ordinary differential equations I (2nd revised. ed.): nonstiff problems
Neural Network Models: An Analysis
Neural Network Models: An Analysis
Introduction to the Theory of Neural Computation
Introduction to the Theory of Neural Computation
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The problem of designing a neural network possessing prescribed stable equilibria is a fundamental task for network designers. This problem can be viewed as an inverse eigenvalue problem and solved by using a gradient flow approach. Working with discretization of continuous-time systems could produce new algorithms to solve the problem and could allow the possibility of constructing adaptive schemes faster than algebraic approaches.