DGD virtual currency

1. 1. BTC: digital gold
2. Eth: smart contract and e-cash
3. BCH: Clone of bitcoin
4. XRP: enterprise transfer network
5. LTC: faster version of bitcoin
6. Dash: Clone of bitcoin with stronger privacy
7. Neo: Chinese version of Ethereum
8. NEM: Xinjing movement digital assets
9. XmR: anonymous digital cash
10 Etc: Ethereum clone
11, iota: Internet of things transfer
12, qtum: smart contract
13, OMG: banking, remittance, exchange
14, Zec: anonymous digital cash
15, BCC: Madoff like investment fund
16, lisk: distributed app written in Java
17, ADA: layered digital cash and smart contract
18, tether: US $1
19 XLM: IOU of digital cash
20, EOS: distributed app on webassembly
21, HSR: blockchain switch
22, waves: distributed exchange and crowdfunding
23, stratis: distributed app in C language
24, KMD: distributed ICO
25, ark: blockchain switch
26, ETN: cloned Monroe coin
27, BCN: anonymous digital cash
28 Steem: reddit voting with token
29, ardr: can generate the master chain of blockchain
30, BNB: compensate the transaction fee of coin security
31, augur: distributed forecast market
32, ppt: Bill financial system of blockchain
33, DCR: bitcoin with independent management mechanism
34, pay: digital currency payment card
35, Maid: rent hard disk space
36 Bitcoin disk: Clone XZC
37, BTS: distributed exchange
38, GNT: renting computer computing power
39, pivx: Clone dash without inflation
40, gas: payment of Neo transfer fee
41, TRX: payment within app
42, VTC: Clone bitcoin
43, Mona: Japanese dogcoin
44, FCT: distributed data record
45 Bat: distributed advertising network
46, salt: digital currency based mortgage network
47, KNC: distributed exchange
48, Doge: cute bitcoin clone
49, DGD: Gold digital monetization managed by the company
50, WTC: Internet of things blockchain
51, jiuzhuang bcbot

2.

in terms of cloth storage and mining, I recommend Heshu hardware wallet and jiajiabao intelligent home miner. The core advantage of the proct is safety

take sum hardware wallet as an example. The advantages of sum hardware wallet are as follows:

1. The private key seed is encrypted layer by layer, physically isolated and never touched the Internet.

firstly, when creating the wallet, the seed password is generated and stored in the local encryption chip, and the 10 bit payment password is required

then, the transaction is made in the wallet. At this time, the user needs to enter the payment password to obtain the private key to digitally sign the transaction, and the transaction is completed. In addition, the private key seed is permanently stored in the chip, which is physically isolated and never touches the Internet. There is no need to worry about my password being stolen by hackers

Second, the bank system verifies the financial level motherboard and encryption chip

uses the bank system to verify the financial level motherboard, and the private key seed is stored in the chip. If the proct is stolen or lost, and destroyed by malicious violence, the chip will trigger a self destruct circuit, and immediately permanently and irrecoverably delete all the information in the area

Third, it supports the withdrawal of global bitcoin ATM, which is convenient and fast

the reason why digital assets attract the attention of many fields in the world is that it is creating a global fast circulation, and the larger the circulation field is, the wider the scope is, and the higher its use value is. The core of digital assets is the medium it acts on among currencies. The Heshu wallet has built-in many mainstream exchanges in the world. It can trade digital assets anytime and anywhere. With one machine in hand, it can walk around the world without worry, and no longer have to worry about exchanging foreign currency

Different from conventional digital wallets, multi signature wallets need the authorization of multiple key holders to transfer digital currency, so the security of multi signature wallets is higher. Ordinary Wallet: a wants to transfer a bitcoin to X. A only needs his signature (using the private key) to complete the transaction. Sum Wallet: if a wants to transfer a bitcoin to x, a multi signature verification is set (at least two signatures of Abc3 indivials are required to transfer the money), then a needs B or C to complete the signature (using the private key) when a wants to transfer the money to X. I hope I can help you. Thank you

3. Why does computer mining always show in startup
this situation may be caused by poor network
you can try to restore the factory settings or restart the device
see if it can be solved.

4.

Matlab neural network toolbox can be used to extract samples first, normalize them with mapminmax function, then establish the network with newff function, set training parameters, train them with train function, and finally see the prediction results with SIM function

in the process of training, there is a performance that can be observed, and its training goal is the goal you set. In the process of training, it will automatically separate a part of the samples as validation verification, which can ensure the fitting. In order to evaluate the effect, the accuracy of the final prediction should be considered

The appendix is an example of BP prediction

5. Such a big topic can already be regarded as the level of master's thesis. It is suggested that we should join hands with universities with strong domestic strength to do this topic.

6. After decades of development, neural network theory has achieved extensive success in many research fields, such as pattern recognition, automatic control, signal processing, assistant decision-making, artificial intelligence and so on
when the artificial neural network is applied to practical problems, it is necessary to first analyze the parameters of the problem, how to abstract the model, and finally select an appropriate neural network model to map the problem after training
Artificial Neural Network (ANN) has been widely used in control systems e to its unique model structure, inherent nonlinear simulation ability, and highly adaptive and fault-tolerant characteristics. On the basis of all kinds of controller frame structure, nonlinear adaptive learning mechanism is added to make the controller have better performance. The basic control structures include supervisory control, direct inverse model control, model reference control, internal model control, predictive control, optimal decision control, etc.

7. It is not necessary to compress when the sample dimension is too high