Kabushiki Kaisha Toshiba

Tadashi Ikehara

Koichi Nittoh

Kazuki Hida

Gadolinium is provided which is adapted for nuclear fuel as a burnable poison, having a plurality of isotopes in an isotopic composition such that the content of at least one even mass numbered isotope is smaller than the content of the same isotope in natural gadolinium. A fuel assembly is also provided having a plurality of nuclear fuel rods arrayed as a lattice in which at least one of the fuel rods contains the gadolinium burnable poison of the present invention. Also, a fuel assembly is described which has a plurality of nuclear fuel rods arrayed as a lattice which includes at least a first group and a second group of nuclear fuel rods containing gadolinium. The content of Gd-157 in the gadolinium is larger than that found in natural gadolinium. Further, the gadolinium concentrations in the first and second groups are different from each other.

Nuclear fuel containing gadolinium

A neural network includes an input layer composed of a plurality of cells receiving respective components of an input vector, an output layer composed of a plurality of cells representing attribute of the input vector, and an intermediate layer composed of a plurality of cells connected to all the cells of the input and output layers for producing a mapping to map a given input vector to its correct attribute. A learning method utilizing such neural network is carried out by image projecting the input vector into the partial dimensional space by a projection image operating means preliminarily prepared and by storing a coupling vector on the image projection space as well as the threshold and attribute vector.

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Yokohama, Japan

Tadashi Ikehara