Neural network that does not require repetitive training

Claim 2

A neural network having a plurality of network inputs and at least one network output, said neural network comprising: a plurality of input nodes, each input node coupled to a corresponding one of said plurality of network inputs and generating corresponding outputs; a plurality of hidden neurons, each hidden neuron having a plurality of neuron inputs and generating an output based on the product of a plurality of functions, wherein each of said plurality of functions is proportional to one of said plurality of neuron inputs raised to the power of one of a plurality of constants; means for distributing said output of each input node to one of said neuron inputs of at least one of said plurality of hidden neurons; and means for summing outputs of said hidden neurons and generating said at least one network output.

Claim 3

The neural network recited in claim 1 wherein each of said plurality of constants is an integer.

Claim 4

The neural network recited in claim 2 wherein said at least one network output is based on a weighted sum of the outputs of said hidden neurons.

Claim 5

A neural network having a plurality of network inputs and a plurality of network outputs, said neural network comprising: an input node for receiving successive ones of said plurality of network inputs and generating corresponding node outputs; a plurality of hidden neurons, each hidden neuron having at least one neuron input and generating a neuron output based on a product of a plurality of functions, each of said plurality of functions being a function of said at least one neuron input; means for distributing said node outputs to said at least one neuron input of each of said plurality of hidden neurons; and means for summing neuron outputs and generating said plurality of network outputs, said means for summing including a plurality of summers each summing the outputs of predetermined ones of said hidden neurons and generating said network outputs.

Claim 6

A neural network having a plurality of network inputs and a plurality of network outputs, said neural network comprising: an input node for receiving successive ones of said plurality of network inputs and generating corresponding node outputs; a plurality of hidden neurons, each hidden neuron having at least one neuron input and generating a neuron output based on a product of a plurality of functions, each of said plurality of functions being a function of said at least one neuron input; means for distributing said node outputs to said at least one neuron input of each of said plurality of hidden neurons; and means for summing neuron outputs and generating said plurality of network outputs, said means for summing including a plurality of summers each summing the outputs of predetermined ones of said hidden neurons and generating said network outputs.

Claim 7

The neural network recited in claim 4 wherein said hidden neurons comprise a linear transfer function.

Claim 8

The neural network recited in claim 4 wherein the outputs of at least some of said hidden neurons may be summed by more than one of said summers.

Claim 9

The neural network recited in claim 4 wherein said neural network is contained on at least one integrated circuit.

Claim 10

The neural network recited in claim 4 wherein said neural network is contained in a computer program.

Claim 11

The neural network recited in claim 4 wherein each of said plurality of functions is proportional to said at least one neuron input raised to the power of at least one constant.