Abstract: This hot rolled steel contains, in terms of mass %, C: 0.01 to 0.1%, Si: 0.01 to 0.1%, Mn: 0.1 to 3%, P: not more than 0.1%, S: not more than 0.03%, Al: 0.001 to 1%, N: not more than 0.01%, Nb: 0.005 to 0.08%, and Ti: 0.001 to 0.2%, with a remainder being iron and unavoidable impurities, wherein a formula: [Nb]×[C]?4.34×10?3 is satisfied, a grain boundary density of solid solution C is not less than 1 atom/nm2 and not more than 4.5 atoms/nm2, and a grain size of cementite grains precipitated at grain boundaries within the steel sheet is not more than 1 um. This method for manufacturing a hot rolled steel sheet includes: heating a steel slab having the same composition as the above hot rolled steel sheet at a temperature that is not less than a temperature of SRTmin (° C.) and not more than 1,170° C.; performing rough rolling at a finishing temperature of not less than 1,080° C. and not more than 1,150° C.

Abstract: The present invention extracts boundaries from a sentence with no need for linguistic knowledge or complicated grammatical rules. Upon extracting a clause/phrase boundary, words are classified according to part-of-speech numbers of words which form inputted sentence information. Then, an input pattern representing part-of-speech numbers of a target word is checked to determine whether a clause/phrase boundary exists before or after the target word; a plurality of words before and after the target words is then applied to a neural network. Among units in the output layer of the neural network, a unit having the output larger than a threshold is determined to refer to a clause/phrase boundary of the target word. Upon extracting a subject-predicate boundary, words are classified in word number, and an input pattern corresponding to a plurality of words are applied to the neural network.

Abstract: An output layer in a layered neural network uses a linear function or a designated region (linear region) of a threshold function instead of the threshold function to convert an input signal to an analog output signal When the basic unit uses the linear function, a limiter for limiting the output to a region between 1.0 and 0. When the basic unit uses the designated linear region of the threshold function, a limiter limits the output to a region between 0.8 and 0.2. Upon a learning operation, the error propagation coefficient is determined as a constant value such as 1/6 and when the majority of the desired values are 1 or near 1, an error value regarding the opposite desired value 0 is amplified, and when the output values become equal to or more than 1, it is deemed that there is no error with regard to the output of more than 1 in case of many outputs 1, thereby speeding up an operation of updating the weight.