Which websites are conducting virtual currency transactions
Here are some personal experiences in the exchange
(1) the coin search website has the advantages of low service charge, quick withdrawal and multiple currencies. It supports a variety of well-known virtual currency transactions and is convenient to purchase usdt. It has app and high security
(2) kucoin overseas version (coin win background) has smooth interface operation, and the speed of coin withdrawal is not bad, but most of them are junk ICO coins, many names have not been heard of, such as app
(3) China bitcoin overseas version EXX (slow coin withdrawal, kengdai) gambling platform, fixed-point blasting futures pop you up, there seems to be a problem with cash withdrawal, no app
(4) fire coin overseas version, Collude with OK, dozens of junk money a week, no bottom line, many small problems. Support C2C transactions, there are app
(5) okcoin overseas version, this does not say, OK life black, although support C2C transactions, but bottomless line shelf circle coins, flicker leeks, C2C transactions can not be withdrawn, embezzle the user's assets after the decimal point of tens of millions, careful into
(6) BTCC overseas version, support us dollar UnionPay direct charge, but the handling charge is high, it is relatively low-key in China, The experience of the transaction interface is very poor
(7) the overseas version of cloud coin has few currencies and many problems, so it's all warriors
(8) currency security is currently the largest exchange in China, with the most complete currency and many activities. It doesn't card you to withdraw and recharge money. Although there are so many junk money in ICO, it doesn't have as many problems as hot money OK platform. It can be said that it is the best exchange in China. It has app, needs to turn Q, and mobile client doesn't need to turn Q
(9) Yuanbao overseas version has Canadian financial license, legal operation, insufficient depth, small amount of currency, small transaction volume and insufficient UI beautification
(10) in the bitage, the overseas version takes a very long time to review, and it takes you a long time to pick up the coin and issue the coin. The miner's fee used to be a little higher, but now it's just a little higher. 0.5% for recharge, 1% for withdrawal, and the highest withdrawal fee in the whole universe. The garbage made by the K-line chart can't hold on to the ICO coin. At present, this platform can't stand the temptation of interests, and the card is only issued half a day, The trading volume is a little less. At present, I have abandoned this platform
(11) the overseas version of China's bitcoin has just been opened for trading, and C2C trading has a unique qash trading area. There are many small problems, so be careful to enter
warm tips:
1. The above explanations are for reference only, without any suggestions
2. Before investing, it is recommended that you first understand the risks existing in the project, and clearly understand the investors, investment institutions, chain activity and other information of the project, rather than blindly investing or mistakenly entering the capital market. Investment is risky, so we should be cautious when entering the market
response time: October 20, 2020. Please refer to the official website of Ping An Bank for the latest business changes
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another simple way is to use the generalized RBF network, which can be realized directly with GRNN function. The basic form is y = GRNN (P, t, spread). You can use help GRNN to see the specific usage. The prediction accuracy of GRNN is good
generalized RBF network: from the input layer to the hidden layer is equivalent to mapping the data in the low dimensional space to the high dimensional space, and the number of cells in the input layer is the dimension of the sample, so the number of cells in the hidden layer must be more than that in the input layer. From the hidden layer to the output layer is the process of linear classification of data in high-dimensional space. The learning rules commonly used in single-layer perceptron can be used. See neural network foundation and perceptron
note that the number of neurons in the hidden layer is greater than that in the input layer, and it is not equal to the number of input samples. In fact, it is much less than the number of samples. Because in the standard RBF network, when the number of samples is large, many basis functions are needed, the weight matrix will be large, the calculation is complex and prone to ill conditioned problems. In addition, compared with the traditional RBF network, the wide RBF network has the following differences:
1. The center of the radial basis function is no longer limited to the input data points, but determined by the training algorithm
2. The expansion constant of each radial basis function is no longer unified, but determined by the training algorithm
3. The linear transformation of the output function contains threshold parameter, which is used to compensate the difference between the average value of the basis function on the sample set and the target value
therefore, the design of generalized RBF network includes:
1. Structure design -- the hidden layer contains several nodes, which is suitable
2. Parameter design -- the data center and expansion constant of each basis function, and the weight of output nodes.