Abstract: A liquid jet recording head includes a liquid path member having a plurality of liquid flow paths, each of the liquid flow paths being filled with a recording liquid, an orifice being formed at an end of each of the liquid flow paths, and a heater base member having a plurality of heater members and a plurality of radiator members. The heater base member is connected to the liquid path member, each of the heater members having a heater portion, the heater portion generating heat in accordance with a power supplied to it. Each of the radiator members is thermally coupled to the heater portion of one of the heater members so that the amount of heat transmitted from the heater portion to the recording liquid on the heater portion changes in a predetermined direction.

Abstract: A signal processing apparatus has a circuit network which is formed by connecting a plurality of neuron units into a network, each of the neuron being provided with a self-learning means having a weight function varying means and a weight function generating means for generating a variable weight function of the weight function varying means, on the basis of a positive or negative error signal obtained as a result of the comparison between an output signal and a teaching signal. In order to obtain a positive error signal .delta..sub.j(+) and a negative error signal .delta..sub.j(-), there is provided a differential coefficient calculating means for calculating two kinds of differential coefficients for a neuron response function, the calculation being done on the basis of the output signal from the neuron unit.

Abstract: A liquid jet recording head includes a base member, a liquid layer maintained on the base member and a plurality of heater elements, arranged in a line on the base member, for supplying energy to liquid adjacent thereto, the energy operation portions being put under the liquid layer. A method for making a liquid drop fly from the liquid jet recording head onto a recording sheet so that a dot image is formed on the recording sheet includes steps of (a) generating a bubble in the liquid to which the energy is supplied by each of energy operation portions in accordance with image data; (b) making the bubble grow up until a predetermined size of the bubble is obtained; (c) contracting the bubble under a condition where each of the energy portions supplies no energy to the liquid in which the bubble is formed; and (d) making the bubble disappear into the liquid.

Abstract: An ink jet recording head assembly includes: a base member having a plurality of enclosures, a top of each of the enclosures having an opening; a mechanism for supplying ink to each of the enclosures via the opening at the top thereof and for maintaining the ink at a predetermined depth; and a heater element which is provided in each of the enclosures under the ink supplied via the opening, the heater element heating the ink in each of the enclosures so that a bubble is generated in the ink; wherein an ink drop is jetted from a surface of the ink due to the bubble generated in the ink.

Abstract: A neuron unit processes a plurality of input signals and for outputs an output signal which is indicative of a result of the processing, and includes input lines for receiving the input signals, a forward process part including a supplying part for supplying weight functions and an operation part for carrying out an operation on each of the input signals using one of the weight functions and for outputting the output signal, and a self-learning part including a function generating part for generating new weight functions based on errors between the output signal of the forward process part and teaching signals and a varying part for varying the weight functions supplied by the supplying part of the forward process part to the new weight functions generated by the generating part. The supplying part includes a memory for storing each weight function in the form of a binary value, and a generating circuit for generating a random pulse train based on each binary value stored in the memory.

Abstract: A neuron unit processes a plurality of binary input signals and outputs a neuron output signal which is indicative of a result of the processing. The neuron unit is provided with a plurality of first gates respectively for carrying out a logical operation on a binary input signal and a weighting coefficient, a second gate for carrying out a logical operation on an excitatory output signal of each of the first gates, a third gate for carrying out a logic operation on an inhibitory output signal of each of the first gates, a fourth gate for synthesizing output signals of the second and third gates and outputting the neuron output signal, and a generating circuit for generating the weighting coefficients which are supplied to each of the first gates.

Abstract: A method and apparatus are disclosed that modify [ies] and generalize [s] the use in artificial neural networks of the error backpropagation algorithm. Each neuron unit first divides a plurality of weighted inputs into more than one group, then sums up weighted inputs in each group to provide each group's intermediate outputs, and finally processes the intermediate outputs to produce an output of the neuron unit. Since the method uses, when modifying each weight, a partial differential coefficient generated by partially-differentiating the output of the neuron unit by each weighted input, the weight can be properly modified even if the output of a neuron unit as a function of intermediate outputs has a plurality of variables corresponding to the number of groups.