| 摘要 |
An apparatus based on an n-variable unlimited recurrent adjustable network (URANn) comprises: two layers, each layer having the same number (n) of neuron elements; linear neuron elements xi constituting a first layer; nonlinear artificial neuron elements yj having respective temperature-dependent parameters Tj and constituting a second layer. Each linear and nonlinear neuron element of the first and second layers is connected using a feedforward connection part, a recurrent connection part, and an auto connection part. A nonlinear oscillation apparatus having the recurrent neural network is generally operated in accordance with the equation (1) described below: <IMAGE> = g1(x1, x2, . . . xn) . . . <IMAGE> = gi(x1, x2, . . . xn) . . .
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