IPC분류정보
국가/구분 |
United States(US) Patent
등록
|
국제특허분류(IPC7판) |
|
출원번호 |
US-0405963
(1995-03-17)
|
우선권정보 |
JP-0078003 (1994-03-23) |
발명자
/ 주소 |
- Shigematsu Yukifumi (Tsukuba JPX) Matsumoto Gen (Tsukuba JPX)
|
출원인 / 주소 |
- Agency of Industrial Science & Technology, Ministry of International Trade & Industry (Tokyo JPX 03)
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인용정보 |
피인용 횟수 :
15 인용 특허 :
3 |
초록
▼
A temporal learning neural network includes a plurality of temporal learning neural processing elements and an input/output control section. Each element includes a calculation device and a learning device. The calculation device includes an input memory section and a response calculation circuit. T
A temporal learning neural network includes a plurality of temporal learning neural processing elements and an input/output control section. Each element includes a calculation device and a learning device. The calculation device includes an input memory section and a response calculation circuit. The learning device includes a learning processing circuit and a history evaluation circuit. The calculation circuit calculates a sum of a total summation value of a product of input values and connection efficacies, and an internal potential, compares the sum with a predetermined threshold value, outputs a 1 or 0 signal depending on the comparison and substitutes internal potential of a next time for the sum. The processing circuit receives an input history evaluation value when the calculation circuit has produced an output 1 signal which strengthens, weakens or leaves unchanged the connection efficacies depending on the comparison. The evaluation circuit obtains an input history value, compares the obtained input history value with the learning threshold value, generates an evaluation signal and distributes the evaluation signal to the input memory section. The input/output control section is provided with input terminals and output terminals, sends signals input from the calculation circuit and evaluation circuit to the input memory section, receives signals output from the calculation circuit and evaluation circuit, and effects communication with each of the processing elements. This process is an input temporal associative learning process.
대표청구항
▼
A temporal learning neural network for implementing input temporal associative learning, the neural network comprising: a substrate, a plurality of temporal learning neural processing elements integrated on said substrate, and an input/output control section including input terminals and output term
A temporal learning neural network for implementing input temporal associative learning, the neural network comprising: a substrate, a plurality of temporal learning neural processing elements integrated on said substrate, and an input/output control section including input terminals and output terminals; each of said processing elements comprising: learning means, and calculation means comprising: an input memory section with inputting means for inputting a plurality of signal pulses, and means for storing the signal pulses input from said inputting means, and a response calculation circuit which calculates a sum of (a) a total summation value of a product of (i) input values to said input memory section and (ii) corresponding input terminal connection efficacies, and (b) an internal potential remaining in the processing element at a current time, which is obtained by decaying the internal potential of the processing element at a preceding time, the sum forming an accumulated value, said response calculation circuit including comparing means for comparing the accumulated value with a predetermined threshold value and, (i) when the accumulated value exceeds the predetermined threshold value, outputting an output 1 signal, and storing, as the internal potential for the processing element at a subsequent time, a value obtained by deducting a constant from the accumulated value, and (ii) when the accumulated value does not exceed the predetermined threshold value, outputting an output 0 signal and storing the accumulated value as the internal potential of the processing element of the subsequent time, said learning means comprising: a history evaluation circuit for determining an input history evaluation value, and a learning processing circuit for generating new connection efficacies in a processing element wherein said calculation circuit has output an output 1 signal, by receiving an input history evaluation value from said history evaluation circuit, the input history evaluation value (i) strengthening the connection efficacies when the evaluation value is positive, (ii) weakening the connection efficacies when the evaluation value is negative and (iii) leaving the connection efficacies unchanged when the evaluation value is zero, wherein said history evaluation circuit includes: means for using an input history value of the processing element of the preceding time for the input history value of the processing element of a current time, which is obtained by accumulating the input signals with decay, means for comparing the input history value with an enhancement learning threshold value and a decreased learning threshold value, generating the input history evaluation value whereby a changing direction for the connection efficacies is (i) positive when the obtained input history value is equal to or higher than the enhancement learning threshold value, (ii) negative when the obtained input history value is lower than the enhancement learning threshold value and is equal to or higher than the decreased threshold value, or (iii) zero when the obtained input history value is lower than the decreased threshold value, and means for distributing the input history evaluation value to the input memory section of each of the processing elements, and wherein said input/output control section includes means for receiving at said input terminals (i) the output 1 and output 0 signals output from said response calculation circuit and (ii) the input history evaluation value from said history evaluation circuit, and means for sending, from said output terminals, the signals input from said response calculation circuit and from said history evaluation circuit, to said input memory section of each of said plurality of processing elements.
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