Under the national policy support, the agricultural cooperative investment fund scale increases year by year, issued by the rapid growth fund investors, how can accurately evaluating fund and forecast development trend has been praised by the attention of people, establish fund of a relatively high accuracy analysis model and its application system, the fund investors and the fund management organ has important practical value. Fund and stock are different, it is a variety of stocks or portfolio investment combination, its asset allocation, market trend performance, fund manager's stock selection and timing ability, directly affect the change of fund net value. Therefore, this paper objectively evaluated the style of the fund from the historical net value of the fund, combined with the change trend of stock index and bond index, and used data mining algorithms such as clustering and neural network to infer its future returns and potential risks. The experimental results show that: from the overall score of the investment income ability, the average score of the cooperatives is 69.1. Among the 44 sample farmer cooperatives, 8 (19%) have the comprehensive score lower than 60. There were 15 cooperatives with qualified comprehensive scores, accounting for 32%; There were 13, or 28%, with medium overall scores. Good 10, 21%; Excellent 0. The main reason is that the cooperatives are still in the early stage of development. Although the polarization of the investment income ability of the cooperatives is not obvious, the overall investment income ability of the cooperatives is at a level below the average level.

Xin Jin, Ru Deng and Anni Zhu. The Performance Prediction of Agricultural Cooperative Investment Fund Before and After Based on Improved Neural Network Algorithm. International Journal of Neural Network (2022), Vol. 3, Issue 1: 42-53. https://doi.org/10.38007/NN.2022.030104.

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