CN204408359U - A kind of nerval network chaotic circuit - Google Patents
A kind of nerval network chaotic circuit Download PDFInfo
- Publication number
- CN204408359U CN204408359U CN201520063742.9U CN201520063742U CN204408359U CN 204408359 U CN204408359 U CN 204408359U CN 201520063742 U CN201520063742 U CN 201520063742U CN 204408359 U CN204408359 U CN 204408359U
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- fixed value
- value resistance
- resistance
- operational amplifier
- variable resistor
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Abstract
A kind of nerval network chaotic circuit that the utility model provides, it comprises operational amplifier, four fixed value resistances, three variable resistors, two power supplys and two diodes, signal input part is connected with the inverting input of operational amplifier with after the second fixed value resistance by the first fixed value resistance of connecting successively, signal input part is also connected after the 3rd fixed value resistance and is connected with the in-phase input end of described operational amplifier, be connected in parallel with the 3rd fixed value resistance after first fixed value resistance and described second fixed value resistance series connection, 3rd one end being connected to the 4th fixed value resistance between fixed value resistance and the in-phase input end of operational amplifier, the utility model structure is simple, easy to use, reliably, by arranging multiple variable resistor and two power supplys, input signal is after this circuit, by regulating each variable resistor, the curve that various chaos develops can be exported, after output signal connects oscilloscope, experiment and the conversion of various chaotic neural network can be shown.
Description
Technical field
The utility model relates to a kind of nonlinear circuit, is specially a kind of chaos circuit of neural net, belongs to electronics and circuit engineering field.
Background technology
Forward position and the focus of nonlinear science to the research of chaos always, because chaotic signal has abundant nonlinear dynamic characteristic, make chaos in a lot of fields (as secure communication, automatically control and sensing technology etc.) be widely applied, therefore, people create great interest to contents such as the generation of chaotic signal and the researchs of chaos circuit, and chaotic neural network is the new direction of Artificial Intelligence Development, the circuit realiration of chaotic neural network is to the research important in inhibiting of chaotic neural network.
For solving each above technical problem, the utility model provides a kind of nerval network chaotic circuit, its structure is simple, easy to use, reliable, by arranging multiple variable resistor and two power supplys, input signal, after this circuit, by regulating each variable resistor, can export the curve that various chaos develops, output signal can show experiment and the conversion of various chaotic neural network after connecting oscilloscope.
Summary of the invention
For above-mentioned situation, for solving the defect of prior art, the object of the utility model just there is provided a kind of nerval network chaotic circuit, it comprises operational amplifier, it is characterized in that, signal input part is connected with the inverting input of described operational amplifier with after the second fixed value resistance by the first fixed value resistance of connecting successively, signal input part is also connected after the 3rd fixed value resistance and is connected with the in-phase input end of described operational amplifier, be connected in parallel with described 3rd fixed value resistance after described first fixed value resistance and described second fixed value resistance series connection, one end of the 4th fixed value resistance is connected between described 3rd fixed value resistance and the in-phase input end of described operational amplifier, the other end ground connection of described 4th fixed value resistance, the first diode and the first variable resistor is connected in series with between described first fixed value resistance and described second fixed value resistance, and the negative pole of the first diode is connected between described first fixed value resistance and described second fixed value resistance, the positive pole of the first diode is connected on the first variable resistor, first variable resistor connects the first power supply, the negative pole of the second diode is connected between the first fixed value resistance and the second fixed value resistance, be connected with second source after the positive pole of the second diode is connected in series the second adjustable resistance, the 3rd variable-resistance one end is connected between described 3rd fixed value resistance and the inverting input of described operational amplifier, the signal output part of described 3rd variable-resistance other end connection transportation amplifier.
Further, as preferably, the resistance of the first fixed value resistance, the second fixed value resistance is equal, and is all less than the resistance of described 3rd fixed value resistance.
Further, as preferably, the supply voltage of described first power supply and described second source is equal.
The beneficial effects of the utility model: the utility model provides a kind of nerval network chaotic circuit, its structure is simple, easy to use, reliable, by arranging multiple variable resistor and two power supplys, input signal is after this circuit, by regulating each variable resistor, can export the curve that various chaos develops, output signal can show experiment and the conversion of various chaotic neural network after connecting oscilloscope.
Accompanying drawing explanation
The structural representation of a kind of nerval network chaotic circuit that Fig. 1 provides for the utility model.
Wherein, the 1, first variable resistor, 2, the second adjustable resistance, 3, the first diode, 4, the second diode, the 5, first fixed value resistance, the 6, second fixed value resistance, 7, the 3rd fixed value resistance, 8, the 4th fixed value resistance, the 9, the 3rd variable resistor, 10, operational amplifier, 11, the first power supply, 12. second sources.
Embodiment
Below in conjunction with accompanying drawing, the utility model is described further.
As shown in Figure 1, the utility model provides a kind of nerval network chaotic circuit, it comprises operational amplifier 10, signal input part is by being connected with the inverting input of operational amplifier 10 after to connect successively the first fixed value resistance 1 and the second fixed value resistance 2, signal input part is also connected, and the 3rd fixed value resistance 7 is rear to be connected with the in-phase input end of operational amplifier 10, first fixed value resistance 5 and the second fixed value resistance 6 are connected in parallel with the 3rd fixed value resistance 7 after connecting, one end of the 4th fixed value resistance 8 is connected between 3rd fixed value resistance 7 and the in-phase input end of operational amplifier 10, the other end ground connection of the 4th fixed value resistance 8, the first diode 3 and the first variable resistor 1 is connected in series with between first fixed value resistance 5 and the second fixed value resistance 6, and the negative pole of the first diode 3 is connected between the first fixed value resistance 5 and the second fixed value resistance 6, the positive pole of the first diode 3 is connected on the first variable resistor 1, first variable resistor 1 connects the first power supply 11, the negative pole of the second diode 4 is connected between the first fixed value resistance 5 and the second fixed value resistance 6, the positive pole of the second diode 4 is connected in series the second adjustable resistance 2 and is connected with second source 12 afterwards, one end of the 3rd variable resistor 9 is connected between 3rd fixed value resistance 7 and the inverting input of operational amplifier 10, the signal output part of the other end connection transportation amplifier 10 of the 3rd variable resistor 9.
In the present embodiment, the resistance of the first fixed value resistance 5, second fixed value resistance 6 is equal, and is all less than the resistance of the 3rd fixed value resistance 7.The supply voltage of the first power supply 11 and second source 12 is equal.
The utility model structure is simple, easy to use, reliable, by arranging multiple variable resistor and two power supplys, input signal is after this circuit, by regulating each variable resistor, the curve that various chaos develops can be exported, output signal can show experiment and the conversion of various chaotic neural network after connecting oscilloscope.
Claims (3)
1. a nerval network chaotic circuit, it comprises operational amplifier, it is characterized in that, signal input part is connected with the inverting input of described operational amplifier with after the second fixed value resistance by the first fixed value resistance of connecting successively, signal input part is also connected after the 3rd fixed value resistance and is connected with the in-phase input end of described operational amplifier, be connected in parallel with described 3rd fixed value resistance after described first fixed value resistance and described second fixed value resistance series connection, one end of the 4th fixed value resistance is connected between described 3rd fixed value resistance and the in-phase input end of described operational amplifier, the other end ground connection of described 4th fixed value resistance, the first diode and the first variable resistor is connected in series with between described first fixed value resistance and described second fixed value resistance, and the negative pole of the first diode is connected between described first fixed value resistance and described second fixed value resistance, the positive pole of the first diode is connected on the first variable resistor, first variable resistor connects the first power supply, the negative pole of the second diode is connected between the first fixed value resistance and the second fixed value resistance, be connected with second source after the positive pole of the second diode is connected in series the second adjustable resistance, the 3rd variable-resistance one end is connected between described 3rd definite value electricity sun and the inverting input of described operational amplifier, the signal output part of described 3rd variable-resistance other end connection transportation amplifier.
2. a kind of nerval network chaotic circuit according to claim 1, is characterized in that, the resistance of the first fixed value resistance, the second fixed value resistance is equal, and is all less than the resistance of described 3rd fixed value resistance.
3. a kind of nerval network chaotic circuit according to claim 1, is characterized in that, the supply voltage of described first power supply and described second source is equal.
Priority Applications (1)
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CN201520063742.9U CN204408359U (en) | 2015-01-27 | 2015-01-27 | A kind of nerval network chaotic circuit |
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CN201520063742.9U CN204408359U (en) | 2015-01-27 | 2015-01-27 | A kind of nerval network chaotic circuit |
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CN204408359U true CN204408359U (en) | 2015-06-17 |
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CN201520063742.9U Expired - Fee Related CN204408359U (en) | 2015-01-27 | 2015-01-27 | A kind of nerval network chaotic circuit |
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111506147A (en) * | 2019-01-30 | 2020-08-07 | 广达电脑股份有限公司 | Sensing and compensation system and method of compensating for temperature effects |
CN114584107A (en) * | 2022-05-07 | 2022-06-03 | 深圳市鼎阳科技股份有限公司 | Variable attenuation device and variable attenuator based on pi-type attenuation network |
-
2015
- 2015-01-27 CN CN201520063742.9U patent/CN204408359U/en not_active Expired - Fee Related
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111506147A (en) * | 2019-01-30 | 2020-08-07 | 广达电脑股份有限公司 | Sensing and compensation system and method of compensating for temperature effects |
CN111506147B (en) * | 2019-01-30 | 2022-06-17 | 广达电脑股份有限公司 | Sensing and compensation system and method of compensating for temperature effects |
CN114584107A (en) * | 2022-05-07 | 2022-06-03 | 深圳市鼎阳科技股份有限公司 | Variable attenuation device and variable attenuator based on pi-type attenuation network |
CN114584107B (en) * | 2022-05-07 | 2022-08-16 | 深圳市鼎阳科技股份有限公司 | Variable attenuation device and variable attenuator based on pi-type attenuation network |
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C14 | Grant of patent or utility model | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20150617 Termination date: 20160127 |
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EXPY | Termination of patent right or utility model |